A lot of development happening in MEMS-based low-cost sensor, wireless technology, edge processing and AI/ML-based analysis. There are some products and solutions that talk about automated fault diagnosis (even prognosis) of rotating machines. Most common is the vibration-based solutions. We know that vibration signature analysis helps us in finding machinery faults, but can we automate the diagnosis process ?
I have following queries related to new developments in asset health monitoring area:
1. If you have used any automated fault diagnosis/prognosis system, what was your experience on accuracy ?
2. Can we set similar rules/logics for different machine configuration ? I guess, number of rules will be proportional to number of machine types.
3. Wireless vibration sensors do not (not sure) provide phase information. Can we still perform fault diagnosis ?
I posted similar question on AI and Machine Learning forum, but did not get any response.
Looking forward for your views.