Aravindha Thiagarajan

Aravindha has a fervent passion for mechanical marvels espcially in aviation and railways. As an ambidextrous soul, he savors life’s variety, from eclectic tunes to culinary adventures & undiscovered journeys.
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Ausgewählte Beiträge von Aravindha

Functional Safety Events Radar – July ’26 Edition

Functional Safety Events Radar – July ’26 Edition

Manually curated and verified, not scraped or auto-generated. We're at the mid-point of the year, so this edition zooms out. July and August are genuinely quiet on dedicated functional safety events — the calendar picks up again in September and runs through to...

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Functional Safety

Functional Safety

You have probably heard of Functional Safety (FuSa), but what does it actually mean? How is it implemented, and why does it matter? 🤔 Let’s break it down with a simple example.👇🏼 Jargon Jive

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Risk in Functional Safety

Risk in Functional Safety

The term ‘Risk’ is common, but in functional safety, it takes on a unique meaning. What elements constitute a "Risk" in this field? From hazard probabilities to its consequences, we break it down with a compelling example. Visual Chronicles Discover how risk in...

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Failure Mode Severity

Failure Mode Severity

In the realm of functional safety, assessing the severity of failure modes as safe/dangerous is a critical aspect. But what exactly does it mean for a failure to be classified as safe or dangerous? Explore this concept in this 'Visual Chronicles,' we look at just that...

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Diagnostic Coverage Estimation

Diagnostic Coverage Estimation

Diagnostic Coverage (DC) measures the fraction of dangerous detected failures in a system. But in practice, predicting all possible manners a function can fail, and developing a diagnostic function that covers them all is challenging. How do engineers tackle this...

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Diagnostic Coverage (DC)

Diagnostic Coverage (DC)

Diagnostic coverage plays a vital role in ensuring the reliability and safety of systems by detecting and mitigating failures. How effectively can your system detect its own dangerous failures? Explore this crucial concept with a compelling visual example. Visual...

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Failure Rate

Failure Rate

Failure Rate, also represented by the Greek symbol lambda - λ, is a fundamental metric that helps us understand how often systems or components might fail over time. This insight is crucial for guiding reliable performance, maintenance planning, and design...

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Mean Time Between Failures (MTBF)

Mean Time Between Failures (MTBF)

MTBF (Mean Time Between Failures) is a key metric in reliability engineering that tells us how often repairable items fail over time.Understanding MTBF helps in planning maintenance schedules, improving asset availability, and enhancing inventory management.🔍 Want to...

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Safe Failure Fraction (SFF)

Safe Failure Fraction (SFF)

Safe Failure Fraction (SFF) is a crucial metric that evaluates the balance of a system’s architecture from a safety perspective. But why is it important and how is it calculated? 🤔 Dive in to learn more with a simple example.👇🏼 Jargon Jive

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Common Cause Failure (CCF)

Common Cause Failure (CCF)

Common Cause Failures (CCFs) are a critical functional safety concept that can render even redundancy measures ineffective. But what are they, how do they occur, and how can they be avoided? 🤔 Dive in to learn more with a simple example.👇🏼 Jargon Jive

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37 questions with Huzaifa

37 questions with Huzaifa

Introduction 37 Questions with Huzaifa Bashir Welcome to the fourth edition of our "37 Questions" series, where we explore the people who make Modelwise special in a fun and casual way. Why 37? It's inspired by a fascinating Veritasium video that reveals the unique...

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