The FMEDA process is used to obtain several important reliability and safety metrics for components, devices, and systems. How does one validate these important metrics? Has the analysis generated realistic, credible results? This webinar discusses several potential validation methods including field failure comparisons, using the SIL SafeData chart, and comparison to existing device performance. This webinar is important for anyone performing FMEDA analysis and those contracting FMEDA analysis.
Congrats to Rexa. exida recently issued an IEC 61508 functional safety certification for their X3 Accumulator System. The certificate and assessment report can be found on the exida SAEL .
The FMEDA process analyzes blocks of electronic or mechanical device designs one component at a time. This goes quickly when the block is a series system. But what about redundancy? What about unclear failure mode impact? How does one deal with application dependent failure modes? These are a few of the issues that may be encountered during an FMEDA. This webinar discusses the abnormal and unclear situations that may occur along with the interpretations and solutions used at exida. This webinar is important for anyone performing FMEDA analysis and those contracting FMEDA analysis.
IEC 61508 in the Safety Automation Equipment List
Congrats to Emerson Automation Solutions. exida recently issued an IEC 61508 functional safety certification for their Fisher Digital Isolation DSV1000 SIS Solution. The certificate and assessment report can be found on the exida SAEL here .
The FMEDA process is a bottom-up approach where component failure rates and failure modes are mapped into device level failure modes resulting in a potentially good prediction of the device failure rate for each device failure mode. An FMEDA can also potentially predict the Useful Life of a device. However, no FMEDA can produce realistic metrics without a complete and strong component reliability database. This webinar discusses the key attributes of a component reliability database and shows examples of several component metrics. This webinar is important for anyone performing FMEDA analysis and those contracting FMEDA analysis.
In Functional Safety (FuSa), one critical performance metric, called PFDavg (the average probability that a safety protection function will not work when needed), is calculated. In Safety Functions where a “Proof Test” can be done, the effectiveness of that Proof Test is an important input to the PFDavg calculation. Many simply say 100% yet many field failure reports will dispute that estimate. Reality is that a Proof Test is not perfect and has an effectiveness of less, sometimes much less, than 100%. An FMEDA can be used to predict the diagnostic coverage of any Proof Test. It provides a relatively accurate prediction of this important metric. This webinar explains the method used in FMEDA to predict Proof Test Coverage including an example calculation. This webinar is for anyone performing an FMEDA.
IEC 61511 in the Safety Automation Equipment List
Congrats to Arm China. exida recently issued an ISO 26262 functional safety certification for their Functional Safety Management Process for Digital IP Hardware Development. The certificate and assessment report can be found on the exida SAEL here .
IEC 61508 in the Safety Automation Equipment List
Failure rate data for many different devices has shown that a device failure rate changes during the operating time interval. The failure rate would follow what has become known as the “Bathtub Curve.” Failure rates can be approximated as a constant value during the flat bottom of the Bathtub Curve for a time period known as Useful Life. At some point in time, the failure rate increases, often rapidly. This marks the end of the Useful Life time period. In Functional Safety (FuSa), one critical performance metric, called PFDavg (the average probability that a safety protection function will not work when needed) is calculated. Failure rates are an input to this calculation and are only valid during the Useful Life. Therefore, Useful Life is required for FuSa. An FMEDA can be used to predict this important metric. This webinar explains the Reliability Engineering background and the method used in FMEDA.
An FMEDA is a failure metric analysis method used primarily to predict failure rates of embedded controllers, sensors, and final elements. When the FMEDA method was invented in the late 1980s, a spreadsheet was the obvious choice for implementation. Even with the proliferation of bespoke FMEDA tools, a spreadsheet can still be used today, especially for simple mechanical and electrical devices. This webinar shows examples of spreadsheets in use, explains how to set up the calculations used in the spreadsheet and gives a detailed example of an FMEDA done using a spreadsheet.
The Pennridge Highschool STEM Team, the self-named Pennridge Nerd Squad, finished 3rd in the Pennsylvania 2023 Governor’s STEM challenge with their “Thinking Bee” project. A project focusing on the decline in the natural pollination across the US and Pennsylvania. The team developed a prototype drone, smartly named Adam Flayman as…
IEC 61508 in the Safety Automation Equipment List
IEC 61508 in the Safety Automation Equipment List
This Course is Also Offered Online This short course (2 hours) provides an overview of industrial control system 〈ICS〉 cybersecurity for asset owners/operators and system integrators including an overview of the current cybersecurity environment, cybersecurity hygiene, and the ISA/IEC 62443 series of standards including the cybersecurity lifecycle. The following provides…
Shannon, Ireland (25 April 2023) – exida IRL LTD announces that the organization has been accredited by the Irish National Accreditation Board (INAB) for machinery safety and has been appointed by the Ireland Department of Enterprise, Trade and Employment as a Notified Body (NoBo) for machinery. exida experts are now…
IEC 61508 in the Safety Automation Equipment List
FMEDA is an acronym for Failure Mode, Effects and Diagnostic Analysis. It is a method developed to predict quantitative failures for each failure mode of a device considering the impact of automatic diagnostics which have become the most common way to achieve high availability and functional safety in smart systems. This webinar provides an introduction to this popular method including FMEDA inputs, process, and results achieved.
In the 1980’s, there was a raging debate in the functional safety committee about redundancy versus diagnostics. Some said functional safety could only be achieved with redundant systems. This was strongly supported by Triple Modular Redundant (2oo3) safety PLC vendors. Others argued that diagnostics would be an equal or better…