Speaking Of Reliability: Friends Discussing Reliability Engineering Topics | Warranty | Plant Maintenance SOR 1058 Use and Environmental Data
Apr 4, 2025
The discussion focuses on harnessing real-world data to refine mission profiles, moving from rigid deterministic approaches to flexible stochastic methods. Environmental factors like temperature and humidity are crucial in determining component reliability. The speakers highlight the risks of selection bias in data analysis and emphasize the importance of accurate usage behavior to avoid over-engineering. They also navigate the balance between leveraging connectivity for data collection and protecting user privacy, advocating for critical thinking in data-driven decisions.
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Game Controller Button Usage Story
- A game controller team used vendor claims on button durability without knowing actual user button press frequency.
- Realizing user behavior diverged from assumptions highlights the need for real usage data in design.
Embrace Stochastic Mission Profiles
- Mission profiles should shift from deterministic fixed worst-case values to stochastic distributions reflecting real variability.
- This enables better risk understanding and design optimization based on usage and environmental variance.
Humidity Sensor Benefit Example
- Using humidity sensors in printers cut unnecessary delays for drying times in low-humidity areas.
- This customer benefit stemmed from understanding environmental conditions beyond worst-case assumptions.