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Failure Modes, Effects, and Diagnostic Analysis (FMEDA) is a popular technique for evaluation of reliability and safety of a given product. This paper discusses possible challenges in application of FMEDA and related analysis techniques to complex electronic products like FPGA-based platforms. Ways of tool support to make FMEDA automated are addressed.
Certifying an electrical/electronic system as functionally safe requires a range of analysis and assessment procedures, which must be performed during the different design and manufacturing phases. In the automotive context, the ISO 26262 standard prescribes a set of methods, including FMEDA (Failure Modes, Effects, and Diagnostic Analysis), to evaluate the safety integrity level of the product. FMEDA...
Performance based functional safety standards like IEC 61511 offer many advantages including the opportunity to optimize and upgrade Safety Instrumented Functions (SIFs) designs. Performance calculations depend on realistic failure data for instruments used in SIFs. A predictive analytics technique based around the Failure Modes Effects and Diagnostic Analysis (FMEDA) has been developed along with...
This paper introduces a benchmarking technique we call predictive analytics (PA). The benchmark for the constant failure rate (λ) of a specific failure mode of an element (e.g., pressure transmitter, microprocessor, valve, etc.) used to implement a safety instrumented function (SIF) is predicted using the failure modes, effects and diagnostic analysis (FMEDA) technique supported by a database of constant...
This paper overviews various methods by which a mechanical component's dangerous failure rate, λD, is est imated or predicted for mechanical components used in safety applications. The methods are critically evaluated and the advantages and disadvantages of each are discussed. It is important to note that the same mechanical component may have different values for λD based on the safety application(s)...
Failure Modes and Effects Analysis (FMEA) helps to evaluate numerous aspects of a product. New application of FMEA is in the field of functional safety. The extended FMEA mothed helps to achieve various failure valve of hardware random failure of products, which is related to safety integrity of products.
This paper reports on our successful efforts to validate statistically certain constant failure rate data in a mechanical component constant failure rate and failure mode database. To accomplish this, we use a Failure Modes, Effects, and Diagnostic Analysis (FMEDA) to predict the constant failure rate, lambdaD, for the fail-to-open condition of a particular series of pressure relief valves (PRV) using...
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