Philip and Fred discuss the first basic steps when confronted with a pile of data.
- What do you do with a stack of data – can you make any sense of this – please? Can you believe the analysis results?
- Designing systems to capture the data you need, not the data you have. 🙂
- How do you work with less than perfect failure information?
- What happens when we mix end of life data with functional failure data – when do we “informatively censor” and how do we treat this type of data?
- Interwoven life renewal data and asset failure – how do we “see” missing data?
- Deploying the Reliability Performance Index (RpK) – how to adapt Statistical Process Control topics (SPC) Reliability.
- What is Integrated Process Control (IPC), Key Input Variables (KIV) and Key Output Variables (KOV)?
- What is an Asset failure? How to manage data from our CMMS or ERP system – how to deal with data sets with only replacement events?
Key Points
Join Philip and Fred as they discuss these great topics which include:
- Consider the source and collection method
- Is the data fit for purpose? Does it match the intent of your analysis software? What sections of data are missing?
- Separating clerical push the button tasks from the analysis steps where you need a brain.
- Consider what we are trying to learn and need to know
- Plot the data – dot plots, histograms, etc.
Enjoy an episode of Speaking of Reliability. Where you can join friends as they discuss reliability topics. Join us as we discuss topics ranging from design for reliability techniques to field data analysis approaches.
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