Bearing Condition Monitoring Methods for Electric Machines: A General Review

By Wei Zhou, Thomas G. Habetler, Ronald G. Harley. IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, 2007

174 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/161d2ae8faf60a943b9a59f2eafdd69ad38a99c6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Dong Yang
2. Weiting Zhang
3. Hongchao Wang

In Mechanical Engineering

1. Dong Yang
2. Weiting Zhang
3. Hongchao Wang

Citations in the corpus

• Data-Driven Methods for Predictive Maintenance of Industrial Equipment: A Survey (2019, background): “It can be seen that such a system can properly implement a production and maintenance strategy, and it will lead to a longer running time and the sufficient use for key components [34], such as bearings [35], blades [36], [37], and driving motors [38], [39].”
• Review of Electric Machines in More-/Hybrid-/Turbo-Electric Aircraft (2021, background): “A proper bearing design/selection enhances the machine reliability, reduces maintenance, and increases machine lifetime, considering that 50% of electric machine failures are due to bearing failure [104].”