Fault identification and classification of rolling element bearing based on time-varying autoregressive spectrum

By Guofeng Wang, Zhigao Luo, X. Qin, Y. Leng, T. Wang. 2008

61 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/1ed9300aaa372cee8fe1490c970d959cd6119cc1

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. Hussein Al-Bugharbee
2. I. Trendafilova

In Mechanics of Materials

1. Hussein Al-Bugharbee
2. I. Trendafilova

Citations in the corpus

• A fault diagnosis methodology for rolling element bearings based on advanced signal pretreatment and autoregressive modelling (2016, methodology): “Nevertheless, on some occasions they are still unable to obtain a good frequency resolution [30].”