Mathematical Morphology‐Based Fault Diagnosis to Rotating Machinery: A Review

Rotating machinery is crucial element in mechanical equipment, and during serving cycle their failure is inevitable because of artificial and non-artificial reasons. Signal processing techniques are available to diagnose the failure. Due to the nonlinearity and simplicity in computation rules and the richness in theoretical system, mathematical morphology (MM) has received significant research attention in this area, and numerous papers had been published in academic journals, conference proceedings, etc. The review paper attempts to overview the morphological framework and to summarize these applications grouped as rolling element bearing and gear. Finally, the relevant discussions on MM are analyzed, and several potential prospects are suggested.