Predictive maintenance is an important technique which can and should be a fundamental capability for engineers working industry. Unfortunately few engineers are aware of the techniques and even fewer understand the tools & techniques.
The mathematics of remaining useful like (RUL) estimation is reachable for a wide range of engineers and I encourage everyone to increase their awareness.
Wether implementing your own predictive maintenance solutions or working with others, you need to be aware of the typical obstacles to achieving a useful outcome. Four major obstacles are raised in the post, Top Obstacles to Overcome when Implementing Predictive Maintenance.
These are:
- Being Unaware of How to Do Predictive Maintenance
- Lacking Data to Create Proper Predictive Maintenance Systems
- Lacking Failure Data to Achieve Accuracy
- Understanding Failures but Not Being Able to Predict Them
