Failure Data Analysis is a completely reactive program beset with many complications and trouble. We often hear, “our data is no good”, to which we reply – do you know why?

Often the answer is deferred to someone who should do something better, deflecting the responsibility from the underlying failed design of the data collection of asset failure data. Most engineers do not seem to know when they have left truncated data, or right censored data, or informatively censored data, nor do they know how to deal with it, and which software program provides accurate results.

We work with the world experts on this topic, and in fact DO know how to deal with the most complex of failure data correctly. More important is how to properly cleanse and analyze the data to obtain an accurate result. Far too often we learn of engineers throughout industry applying the wrong approach for their specific type of failure data, which of course generates incorrect results.

As the assumption of the underlying failure mode performance is the topic most maintenance strategy management and optimization programs are built upon, getting this part of your program wrong leads to under optimized maintenance, resulting in more than anticipated failures, which need more failure data collected.

If you are using a forward prediction program either for maintenance optimization of capital renewal decisions, talk to us, the challenges of getting this analysis right are complex, but we can guide you through the successful analysis and predictions needed.