How to Evaluate PMHF, SPFM & LFM, for Automotive ECUs, Using FMEDA

PMHF (Probabilistic Metrics for Hardware Failures), SPFM (Single-Point Fault Metric) and LFM (Latent Fault Metric) are but hardware metrics that facilitate quantitative analysis of random hardware failure of an automotive system /component.

In simpler terms, they measure the extent to which a particular automotive hardware is prone to random failures- say current overload, overheating etc.

These metrics go a long way in making the automotive hardware component fail-safe.

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In the video, two Functional Safety Experts, Poornima Jha and Siva Kumar discuss the industry-wide accepted and recognized method, known as FMEDA.

Understanding FMEDA:

Failure Modes, Effects and Diagnostics Analysis, popularly known as FMEDA is a quantitative analysis that uses inputs like FMEA, safety goals etc. to help derive metrics like PMHF, SPFM & LMF as outputs.

In this webinar, webinar speakers will walk you through the entire FMEDA method, by taking into account a motor controller ECU capacitor, as an example.

The screenshots of the FMEDA form and the various steps in ENCO SOX tool will help you develop an in-depth understanding of FMEDA method.

The FAQs at the end of the webinar is our attempt to help you overcome some commonly faced queries.
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We also have a short introductory video on FMEDA. Go watch it here.    • ISO26262 Functional Safety - Evaluation of...  
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