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Failure Modes, Effects and Diagnostic Analysis Project: Solenoid Valves SNMF 532 024 ** ** and SMF 52 024 ** ** Customer: ACG Automation Center Germany GmbH & Co. KG Tettnang Germany Contract No.: ACG 11/01-054 Report No.: ACG 11/01-054 R001 Version V1, Revision R0; July 2013 Stephan Aschenbrenner The document was prepared using best effort. The authors make no warranty of any kind and shall not be liable in any event for incidental or consequential damages in connection with the application of the document. All rights on the format of this technical report reserved.

Management summary This report summarizes the results of the hardware assessment carried out on the solenoid valves SNMF 532 024 ** ** and SMF 52 024 ** ** in the version listed in the mechanical drawings referenced in section 2.4.1. Table 1 explains the meaning of ** **. The hardware assessment consists of a Failure Modes, Effects and Diagnostics Analysis (FMEDA). A FMEDA is one of the steps taken to achieve functional safety assessment of a device per IEC 61508. From the FMEDA, failure rates are determined and consequently the Safe Failure Fraction (SFF) can be calculated for a subsystem. For full assessment purposes all requirements of IEC 61508 must be considered. Table 1: Configuration overview For safety applications only the solenoid valves SNMF 532 024 ** ** and SMF 52 024 ** ** working as DTT (De-energize To Trip) devices have been considered. All other possible variants and configurations are not covered by this report and need to be calculated separately. ACG Automation Center Germany GmbH & Co. KG and exida together did a quantitative analysis of the solenoid valves SNMF 532 024 ** ** and SMF 52 024 ** ** to calculate the failure rates using exida s component database (see [N2]) for the different components. The failure rates used in this analysis are from the exida Electrical & Mechanical Component Reliability Handbook for Profile 4 1. 1 For details see Appendix 3. Stephan Aschenbrenner Page 2 of 4

The solenoid valves SNMF 532 024 ** ** and SMF 52 024 ** ** can be classified as Type A 2 elements with a hardware fault tolerance of 0. The failure rates listed in this report do not include failures due to wear-out of any components. They reflect random failures and include failures due to external events, such as unexpected use, see section 5.2.2. The following tables show how the above stated requirements are fulfilled for the worst-case configuration of the considered solenoid valves SNMF 532 024 ** ** and SMF 52 024 ** **. Table 2: SNMF 532 024 ** ** IEC 61508 failure rates Failure category exida Profile 4 [FIT] Without PVST With PVST 3 Fail Safe Detected (λ SD ) 0 0 Fail Safe Undetected (λ SU ) 129 129 Fail Dangerous Detected (λ DD ) 0 726 Fail Dangerous Undetected (λ DU ) 1203 477 No effect 1563 1563 No part 0 0 Total failure rate of the safety function (λ Total ) 1332 1332 Safe failure fraction (SFF) 4 --- --- DC D 0% 60% PTC 90% 75% SIL AC 5 --- --- 2 Type A element: Non-complex element (all failure modes are well defined); for details see 7.4.4.1.2 of IEC 61508-2. 3 Valve stroke testing shall be performed at a rate at least ten times faster than the expected demand rate. 4 The complete final element subsystem will need to be evaluated to determine the overall Safe Failure Fraction. 5 The SIL AC (architectural constraints) needs to be evaluated on subsystem level. See also previous footnote. Stephan Aschenbrenner Page 3 of 4

Table 3: SMF 52 024 ** ** IEC 61508 failure rates Failure category exida Profile 4 [FIT] Without PVST With PVST 6 Fail Safe Detected (λ SD ) 0 0 Fail Safe Undetected (λ SU ) 129 129 Fail Dangerous Detected (λ DD ) 0 666 Fail Dangerous Undetected (λ DU ) 1103 437 No effect 1463 1463 No part 0 0 Total failure rate of the safety function (λ Total ) 1232 1232 Safe failure fraction (SFF) 7 --- --- DC D 0% 60% PTC 90% 75% SIL AC 8 --- --- The failure rates are valid for the useful life of the considered solenoid valves SNMF 532 024 ** ** and SMF 52 024 ** ** (see Appendix 2) when operating as defined in the considered scenarios. 6 Valve stroke testing shall be performed at a rate at least ten times faster than the expected demand rate. 7 The complete final element subsystem will need to be evaluated to determine the overall Safe Failure Fraction. 8 The SIL AC (architectural constraints) needs to be evaluated on subsystem level. See also previous footnote. Stephan Aschenbrenner Page 4 of 4

Table of Contents Management summary... 2 1 Purpose and Scope... 6 2 Project management... 7 2.1 exida... 7 2.2 Roles of the parties involved... 7 2.3 Standards / Literature used... 7 2.4 Reference documents... 8 2.4.1 Documentation provided by the customer... 8 2.4.2 Documentation generated by exida... 8 3 Description of the analyzed elements... 9 4 Description of diagnostic possibilities... 10 4.1 Partial Valve Stroke Testing (PVST)... 10 4.2 Full Valve Stroke Testing (FVST)... 10 5 Failure Modes, Effects, and Diagnostic Analysis... 11 5.1 Description of the failure categories... 11 5.2 Methodology FMEDA, Failure rates... 12 5.2.1 FMEDA... 12 5.2.2 Failure rates... 12 5.3 Assumptions... 13 5.4 Results... 13 5.4.1 SNMF 532 024 ** **... 14 5.4.2 SMF 52 024 ** **... 15 6 Using the FMEDA results... 16 6.1 Example PFD AVG calculation... 16 7 Terms and Definitions... 17 8 Status of the document... 18 8.1 Liability... 18 8.2 Releases... 18 8.3 Release Signatures... 18 Appendix 1: Possibilities to reveal dangerous undetected faults during the proof test.. 19 Appendix 1.1: Proof tests to detect dangerous undetected faults... 19 Appendix 2: Impact of lifetime of critical components on the failure rate... 20 Appendix 3: Description of the considered profiles... 21 Appendix 3.2: exida mechanical database... 21 Appendix 4: Failure rates according to IEC 61508-2:2000... 22 Stephan Aschenbrenner Page 5 of 23

1 Purpose and Scope This document shall describe the results of the mechanical assessment carried out on the solenoid valves SNMF 532 024 ** ** and SMF 52 024 ** ** in the version listed in the mechanical drawings referenced in section 2.4.1. Table 1 explains the meaning of ** **. The FMEDA builds the basis for an evaluation whether a final element subsystem, including the described solenoid valves SNMF 532 024 ** ** and SMF 52 024 ** ** meets the average Probability of Failure on Demand (PFD AVG ) and if applicable the architectural constraints / minimum hardware fault tolerance requirements per IEC 61508 / IEC 61511. It does not consider any calculations necessary for proving intrinsic safety. Stephan Aschenbrenner Page 6 of 23

2 Project management 2.1 exida exida is one of the world s leading accredited Certification Bodies and knowledge companies specializing in automation system safety and availability with over 300 years of cumulative experience in functional safety. Founded by several of the world s top reliability and safety experts from assessment organizations and manufacturers, exida is a global company with offices around the world. exida offers training, coaching, project oriented system consulting services, safety lifecycle engineering tools, detailed product assurance, cyber-security and functional safety certification, and a collection of on-line safety and reliability resources. exida maintains a comprehensive failure rate and failure mode database on process equipment. 2.2 Roles of the parties involved ACG Automation Center Germany GmbH & Co. KG Manufacturer of SNMF 532 024 ** ** and SMF 52 024 ** **. exida Performed the mechanical assessment. ACG Automation Center Germany GmbH & Co. KG contracted exida in January 2011 with the FMEDA of the above mentioned device. 2.3 Standards / Literature used The services delivered by exida were performed based on the following standards / literature. [N1] IEC 61508-2:2010 Functional Safety of Electrical/Electronic/Programmable Electronic Safety-Related Systems; 2nd edition [N2] Electrical & Mechanical Component Reliability Handbook, 2nd Edition, 2008 exida L.L.C, Electrical & Mechanical Component Reliability Handbook, Second Edition, 2008, ISBN 978-0-9727234-6-6 [N3] IEC 60654-1:1993-02, second edition Industrial-process measurement and control equipment Operating conditions Part 1: Climatic conditions [N4] ISA-TR96.05.01-200_; version B of February 2006 Draft technical report Partial Stroke Testing For Block Valve Actuators in Safety Instrumented Systems Applications Stephan Aschenbrenner Page 7 of 23

2.4 Reference documents 2.4.1 Documentation provided by the customer [D1] Smart Namur Valve GB 2.011.pdf Technical description SNMF 532 024 ** ** [D2] Katalog 2008 Smart Valve Series English.pdf Technical description SMF 52 024 ** ** The list above only means that the referenced documents were provided as basis for the FMEDA but it does not mean that exida checked the correctness and completeness of these documents. 2.4.2 Documentation generated by exida [R1] F FMEDA_V8_SmartValves_N_V1R0.efm of 08.02.11 [R2] FMEDA_V8_SmartValves_N_wPVST_V1R0.efm of 08.02.11 [R3] FMEDA_V8_SmartValves_N_wPVST_MPT_V1R0.efm of 08.02.11 [R4] F FMEDA_V8_SmartValves_V1R0.efm of 08.02.11 [R5] FMEDA_V8_SmartValves_wPVST_V1R0.efm of 08.02.11 [R6] FMEDA_V8_SmartValves_wPVST_MPT_V1R0.efm of 08.02.11 Stephan Aschenbrenner Page 8 of 23

3 Description of the analyzed elements The solenoid valves SNMF 532 024 ** ** and SMF 52 024 ** ** can be considered to be Type A elements with a hardware fault tolerance of 0. An overview is given in the following figure. Figure 1: SNMF 532 024 ** ** and SMF 52 024 ** ** The solenoid valves SNMF 532 024 ** ** and SMF 52 024 ** ** for safety applications are 5/2- way and 3/2-way solenoid valves, actuated by a permanent electrical signal. They allow direct mounting on actuators according to VDI/VDE 3845-NAMUR (with distance plate for coil width 30mm). Easy converting from 5/2-ways to 3/2-ways function by means of blocking of one air entry throughout "Smart Coin". Circuit function Symbol 5/2-way valve 3/2-way valve Stephan Aschenbrenner Page 9 of 23

4 Description of diagnostic possibilities 4.1 Partial Valve Stroke Testing (PVST) PVST is the operation of the valve through a portion of its total stroke range. This short stroke of operation checks that the valve is not seized in the running position. The limited stroke of the valve is intended to be short enough so as not to interfere with the operating flow of the system. The purpose of PVST is to provide a diagnostic check of the SIF function. A possible test setup is shown in Figure 2. Partial valve stroke testing is performed at a rate at least ten times faster than the expected demand rate. For SIL 2 safety functions the partial valve stroke test is at least SIL 1 compliant. Input Output OPEN / CLOSE command Safety PLC Solenoid Valve Actuator / Process Valve Figure 2: Possible test set-up Partial stroke testing methods are further described in [N4]. 4.2 Full Valve Stroke Testing (FVST) Full Valve Stroke Testing (FVST) is similar in concept to a PVST, with the variation that the valve is moved through its full operation stroke during the test. This provides greater diagnostic coverage but typically cannot be performed while the process is running. It is a very effective test that can be automatically executed on batch processes and equipment that periodically shuts down. Stephan Aschenbrenner Page 10 of 23

5 Failure Modes, Effects, and Diagnostic Analysis The Failure Modes, Effects, and Diagnostic Analysis was done together with ACG Automation Center Germany GmbH & Co. KG and is documented in [R1] to [R6]. 5.1 Description of the failure categories In order to judge the failure behavior of the solenoid valves SNMF 532 024 ** ** and SMF 52 024 ** **, the following definitions for the failure of the products were considered. Fail-Safe State Fail Safe Fail Dangerous Fail Dangerous Undetected Fail Dangerous Detected No effect No part 5/2-way (De-energize To Trip) The fail-safe state is defined as port 4 being pressurized (1 -> 4), ports 3 and 5 being exhausted and port 2 being closed without being electrically operated. A safe failure (S) is defined as a failure that plays a part in implementing the safety function that: a) results in the spurious operation of the safety function to put the EUC (or part thereof) into a safe state or maintain a safe state; or, b) increases the probability of the spurious operation of the safety function to put the EUC (or part thereof) into a safe state or maintain a safe state. A dangerous failure (D) is defined as a failure that plays a part in implementing the safety function that: a) prevents a safety function from operating when required (demand mode) or causes a safety function to fail (continuous mode) such that the EUC is put into a hazardous or potentially hazardous state; or, b) decreases the probability that the safety function operates correctly when required. Failure that is dangerous and that is not being diagnosed by internal diagnostics. Failure that is dangerous but is detected by internal diagnostics. Failure mode of a component that plays a part in implementing the safety function but is neither a safe failure nor a dangerous failure. Component that plays no part in implementing the safety function but is part of the circuit diagram and is listed for completeness. Stephan Aschenbrenner Page 11 of 23

5.2 Methodology FMEDA, Failure rates 5.2.1 FMEDA A Failure Modes and Effects Analysis (FMEA) is a systematic way to identify and evaluate the effects of different component failure modes, to determine what could eliminate or reduce the chance of failure, and to document the system in consideration. A FMEDA (Failure Modes, Effects, and Diagnostic Analysis) is a FMEA extension. It combines standard FMEA techniques with extension to identify online diagnostics techniques and the failure modes relevant to safety instrumented system design. It is a technique recommended to generate failure rates for each important category (safe detected, safe undetected, dangerous detected, dangerous undetected) in the safety models. The format for the FMEDA is an extension of the standard FMEA format from MIL STD 1629A, Failure Modes and Effects Analysis. 5.2.2 Failure rates The failure rate data used by exida in this FMEDA is from a proprietary mechanical component failure rate database derived using field failure data from multiple sources and failure data from various databases. The rates were chosen in a way that is appropriate for safety integrity level verification calculations. The rates were chosen to match operating stress conditions typical of an industrial field environment similar to exida Profile 4. It is expected that the actual number of field failures due to random events will be less than the number predicted by these failure rates. For hardware assessment according to IEC 61508 only random equipment failures are of interest. It is assumed that the equipment has been properly selected for the application and is adequately commissioned such that early life failures (infant mortality) may be excluded from the analysis. Failures caused by external events however should be considered as random failures. Examples of such failures are loss of power, physical abuse, or problems due to intermittent instrument air quality. The assumption is also made that the equipment is maintained per the requirements of IEC 61508 or IEC 61511 and therefore a preventative maintenance program is in place to replace equipment before the end of its useful life. Corrosion, erosion, etc. are considered age related (late life) or systematic failures, provided that materials and technologies applied are indeed suitable for the application, in all modes of operation. The user of these numbers is responsible for determining their applicability to any particular environment. Accurate plant specific data may be used for this purpose. If a user has data collected from a good proof test reporting system that indicates higher failure rates, the higher numbers shall be used. Some industrial plant sites have high levels of stress. Under those conditions the failure rate data is adjusted to a higher value to account for the specific conditions of the plant. Stephan Aschenbrenner Page 12 of 23

5.3 Assumptions The following assumptions have been made during the Failure Modes, Effects, and Diagnostic Analysis of the solenoid valves SNMF 532 024 ** ** and SMF 52 024 ** **. Failure rates are constant, wear out mechanisms are not included. Propagation of failures is not relevant. Sufficient tests are performed prior to shipment to verify the absence of vendor and/or manufacturing defects that prevent proper operation of specified functionality to product specifications or cause operation different from the design analyzed. Materials are compatible with process conditions. The mean time to restoration (MTTR) after a safe failure is 24 hours. The solenoid valves SNMF 532 024 ** ** and SMF 52 024 ** ** is installed per the manufacturer s instructions. Clean and dry operating air is used per ANSI/ISA-7.0.01-1996 Quality Standard for Instrument Air. Partial valve stroke testing is performed at a rate at least ten times faster than the expected demand rate. For SIL 2 safety functions the partial valve stroke test is at least SIL 1 compliant. For the calculations in section 6.1 the time to detect a dangerous failure by partial valve stroke testing is 730 hours. The stress levels are average for an industrial outdoor environment and can be compared to exida Profile 4 with temperature limits within the manufacturer s rating. Other environmental characteristics are assumed to be within the manufacturer s ratings. Only the described types are used for safety applications. The devices are operated in the low demand mode of operation. The devices are used as De-energize To Trip devices for safety functions, only. 5.4 Results exida did the FMEDAs together with ACG Automation Center Germany GmbH & Co. KG. For the calculation of the Safe Failure Fraction (SFF) the following has to be noted: λ total consists of the sum of all component failure rates of the solenoid valves SNMF 532 024 ** ** and SMF 52 024 ** **. This means: λ total = λ safe + λ dangerous SFF = 1 λ dangerous / λ total MTBF = MTTF + MTTR = (1 / (λ total + λ no part )) + 24 h Stephan Aschenbrenner Page 13 of 23

5.4.1 SNMF 532 024 ** ** The FMEDA carried out the solenoid valves SNMF 532 024 ** ** leads under the assumptions described in section 5.3 and 5.4 and the definitions given in section 5.1 to the following failure rates: Failure category exida Profile 4 [FIT] Without PVST With PVST 9 Fail Safe Detected (λ SD ) 0 0 Fail Safe Undetected (λ SU ) 129 129 Fail Dangerous Detected (λ DD ) 0 726 Fail Dangerous Undetected (λ DU ) 1203 477 No effect 1563 1563 No part 0 0 Total failure rate of the safety function (λ Total ) 1332 1332 Safe failure fraction (SFF) 10 --- --- DC D 0% 60% PTC 90% 75% SIL AC 11 --- --- 9 Valve stroke testing shall be performed at a rate at least ten times faster than the expected demand rate. 10 The complete final element subsystem will need to be evaluated to determine the overall Safe Failure Fraction. 11 The SIL AC (architectural constraints) needs to be evaluated on subsystem level. See also previous footnote. Stephan Aschenbrenner Page 14 of 23

5.4.2 SMF 52 024 ** ** The FMEDA carried out the solenoid valves SMF 52 024 ** ** leads under the assumptions described in section 5.3 and 5.4 and the definitions given in section 5.1 to the following failure rates: Failure category exida Profile 4 [FIT] Without PVST With PVST 12 Fail Safe Detected (λ SD ) 0 0 Fail Safe Undetected (λ SU ) 129 129 Fail Dangerous Detected (λ DD ) 0 666 Fail Dangerous Undetected (λ DU ) 1103 437 No effect 1463 1463 No part 0 0 Total failure rate of the safety function (λ Total ) 1232 1232 Safe failure fraction (SFF) 13 --- --- DC D 0% 60% PTC 90% 75% SIL AC 14 --- --- 12 Valve stroke testing shall be performed at a rate at least ten times faster than the expected demand rate. 13 The complete final element subsystem will need to be evaluated to determine the overall Safe Failure Fraction. 14 The SIL AC (architectural constraints) needs to be evaluated on subsystem level. See also previous footnote. Stephan Aschenbrenner Page 15 of 23

6 Using the FMEDA results The following section describes how to apply the results of the FMEDA. It is the responsibility of the Safety Instrumented Function designer to do calculations for the entire SIF. exida recommends the accurate Markov based exsilentia tool for this purpose. The results must be considered in combination with PFD AVG values of other devices of a Safety Instrumented Function in order to determine suitability for a specific Safety Integrity Level. 6.1 Example PFD AVG calculation An average Probability of Failure on Demand (PFD AVG ) calculation is performed for a single (1oo1) solenoid valve SNMF 532 024 ** ** or SMF 52 024 ** **. The failure rate data used in this calculation are displayed in sections 5.4.1 to 5.4.2. The resulting PFD AVG (for a variety of proof test intervals) values are displayed in Table 4. A mission time of 10 years and a MTTR of 24 hours have been considered. It is assumed that proof testing is performed with a proof test coverage of 90% or 75%, see Appendix 1.1. For SIL2 applications, the PFD AVG value needs to be < 1.00E-02. Table 4: SNMF 532 024 ** ** and SMF 52 024 ** ** PFD AVG values T[Proof] = 1 year T[Proof] = 2 years SNMF 532 024 ** ** without PVST PFD AVG = 1.00E-02 PFD AVG = 1.48E-02 SNMF 532 024 ** ** with PVST PFD AVG = 7.34E-03 PFD AVG = 8.90E-03 SMF 52 024 ** ** without PVST PFD AVG = 9.18E-03 PFD AVG = 1.35E-02 SMF 52 024 ** ** with PVST PFD AVG = 6.72E-03 PFD AVG = 8.16E-03 Figure 3 shows PFD AVG as a function of the proof test interval. 6,00E-02 PFD AVG vs. Proof Test Interval SNMF 532 024 ** ** without PVST SNMF 532 024 ** ** with PVST SMF 52 024 ** ** without PVST SMF 52 024 ** ** with PVST 5,00E-02 4,00E-02 PFDAVG 3,00E-02 2,00E-02 1,00E-02 0,00E+00 1 2 3 4 5 6 7 8 9 10 Years Figure 3: PFD AVG (t) Stephan Aschenbrenner Page 16 of 23

7 Terms and Definitions DTT FIT FMEDA HFT Low demand mode MTBF MTTR PFD AVG PVST PTC SFF SIF SIL Type A element T[Proof] De-energize To Trip Failure In Time (1x10-9 failures per hour) Failure Modes, Effects, and Diagnostic Analysis Hardware Fault Tolerance Mode, where the frequency of demands for operation made on a safetyrelated system is no greater than twice the proof test frequency. Mean Time Between Failures Mean Time To Restoration Average Probability of Failure on Demand Partial Valve Stroke Test It is assumed that the Partial Stroke Testing, when performed, is performed at least an order of magnitude more frequent than the proof test, therefore the test can be assumed an automatic diagnostic. Because of the automatic diagnostic assumption the Partial Stroke Testing also has an impact on the Safe Failure Fraction. Proof Test Coverage Safe Failure Fraction summarizes the fraction of failures, which lead to a safe state and the fraction of failures which will be detected by diagnostic measures and lead to a defined safety action. Safety Instrumented Function Safety Integrity Level Non-complex element (all failure modes are well defined); for details see 7.4.4.1.2 of IEC 61508-2. Proof Test Interval Stephan Aschenbrenner Page 17 of 23

8 Status of the document 8.1 Liability exida prepares reports based on methods advocated in International standards. Failure rates are obtained from a collection of industrial databases. exida accepts no liability whatsoever for the use of these numbers or for the correctness of the standards on which the general calculation methods are based. Due to future potential changes in the standards, best available information and best practices, the current FMEDA results presented in this report may not be fully consistent with results that would be presented for the identical product at some future time. As a leader in the functional safety market place, exida is actively involved in evolving best practices prior to official release of updated standards so that our reports effectively anticipate any known changes. In addition, most changes are anticipated to be incremental in nature and results reported within the previous three year period should be sufficient for current usage without significant question. Most products also tend to undergo incremental changes over time. If an exida FMEDA has not been updated within the last three years and the exact results are critical to the SIL verification you may wish to contact the product vendor to verify the current validity of the results. 8.2 Releases Version History: V1R0: Review comments incorporated; July 30, 2013 V0R1: Initial version; February 8, 2011 Authors: Stephan Aschenbrenner Review: V0R1: Gunnar Berge (ACG); July 15, 2013 Release status: Steven Close (exida); February 14, 2011 Released to ACG Automation Center Germany GmbH & Co. KG 8.3 Release Signatures Dipl.-Ing. (Univ.) Stephan Aschenbrenner, Partner Steven Close, Senior Safety Engineer Stephan Aschenbrenner Page 18 of 23

Appendix 1: Possibilities to reveal dangerous undetected faults during the proof test According to section 7.4.5.2 f) of IEC 61508-2 proof tests shall be undertaken to reveal dangerous faults which are undetected by diagnostic tests. Appendix 1.1: Proof tests to detect dangerous undetected faults A suggested proof test consists of the following steps, as described in Table 5. Table 5 Steps for Proof Test Step Action 1. Bypass the safety function and take appropriate action to avoid a false trip. 2. Send a signal to the solenoid valve to perform a full stroke and verify that this is achieved and within the appropriate time. 3. Inspect the solenoid valve for any visible damage or contamination. 4. Remove the bypass and otherwise restore normal operation. This test will detect approximately 90% of possible du failures when no PVST is carried out and approximately 75% of possible du failures when PVST is carried out. Stephan Aschenbrenner Page 19 of 23

Appendix 2: Impact of lifetime of critical components on the failure rate According to section 7.4.9.5 of IEC 61508-2, a useful lifetime, based on experience, should be assumed. Although a constant failure rate is assumed by the probabilistic estimation method (see section 5.3) this only applies provided that the useful lifetime 15 of components is not exceeded. Beyond their useful lifetime, the result of the probabilistic calculation method is meaningless, as the probability of failure significantly increases with time. The useful lifetime is highly dependent on the component itself and its operating conditions. This assumption of a constant failure rate is based on the bathtub curve. Therefore it is obvious that the PFD AVG calculation is only valid for components which have this constant domain and that the validity of the calculation is limited to the useful lifetime of each component. It is assumed that early failures are detected to a huge percentage during the installation period and therefore the assumption of a constant failure rate during the useful lifetime is valid. Table 6 shows which components with reduced useful lifetime are contributing to the dangerous undetected failure rate and therefore to the PFD AVG calculation and what their estimated useful lifetime is. Table 6: Useful lifetime of components with reduced useful lifetime contributing to λ du Type Mechanical parts Useful life Approximately 10 years When plant experience indicates a shorter useful lifetime than indicated in this appendix, the number based on plant experience should be used. 15 Useful lifetime is a reliability engineering term that describes the operational time interval where the failure rate of a device is relatively constant. It is not a term which covers product obsolescence, warranty, or other commercial issues. Stephan Aschenbrenner Page 20 of 23

Appendix 3: Description of the considered profiles Appendix 3.2: exida mechanical database Profile Profile according to IEC60654-1 Ambient Temperature [ C] Temperature Cycle Average (external) Mean (inside box) [ C / 365 days] 1 B2 30 60 5 2 C3 25 30 25 3 C3 25 45 25 4 D1 25 30 35 PROFILE 1: Cabinet mounted equipment typically has significant temperature rise due to power dissipation but is subjected to only minimal daily temperature swings. PROFILE 2: Mechanical field products have minimal self heating and are subjected to daily temperature swings. PROFILE 3: Mechanical field products may have moderate self heating and are subjected to daily temperature swings. PROFILE 4: Unprotected mechanical field products with minimal self heating, are subject to daily temperature swings and rain or condensation. Stephan Aschenbrenner Page 21 of 23

Appendix 4: Failure rates according to IEC 61508-2:2000 Table 7: SNMF 532 024 ** ** IEC 61508 failure rates Failure category exida Profile 4 [FIT] Without PVST With PVST 16 Fail Safe Detected (λ SD ) 0 0 Fail Safe Undetected (λ SU ) 1692 1692 Fail safe undetected 129 129 No effect 1563 1563 Fail Dangerous Detected (λ DD ) 0 726 Fail Dangerous Undetected (λ DU ) 1203 477 No part 0 0 Total failure rate of the safety function (λ Total ) 2895 2895 Safe failure fraction (SFF) 17 --- --- DC D 0% 60% PTC 90% 75% SIL AC 18 --- --- 16 Valve stroke testing shall be performed at a rate at least ten times faster than the expected demand rate. 17 The complete final element subsystem will need to be evaluated to determine the overall Safe Failure Fraction. 18 The SIL AC (architectural constraints) needs to be evaluated on subsystem level. See also previous footnote. Stephan Aschenbrenner Page 22 of 23

Table 8: SMF 52 024 ** ** IEC 61508 failure rates Failure category exida Profile 4 [FIT] Without PVST With PVST 19 Fail Safe Detected (λ SD ) 0 0 Fail Safe Undetected (λ SU ) 1592 1592 Fail safe undetected 129 129 No effect 1463 1463 Fail Dangerous Detected (λ DD ) 0 666 Fail Dangerous Undetected (λ DU ) 1103 437 No part 0 0 Total failure rate of the safety function (λ Total ) 2695 2695 Safe failure fraction (SFF) 20 --- --- DC D 0% 60% PTC 90% 75% SIL AC 21 --- --- 19 Valve stroke testing shall be performed at a rate at least ten times faster than the expected demand rate. 20 The complete final element subsystem will need to be evaluated to determine the overall Safe Failure Fraction. 21 The SIL AC (architectural constraints) needs to be evaluated on subsystem level. See also previous footnote. Stephan Aschenbrenner Page 23 of 23