Fault detection analysis in rolling element bearing: A review

By P. Gupta, Mohan K. Pradhan. 2017

136 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/deaa30dd3f67f93f360fd057be7ecac3599c8a04

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. Dhiraj Neupane
2. Jong-Hoon Seok

In Mechanical Engineering

1. Dhiraj Neupane
2. Jong-Hoon Seok

Citations in the corpus

• Bearing Fault Detection and Diagnosis Using Case Western Reserve University Dataset With Deep Learning Approaches: A Review (2020, methodology): “Time-domain analysis, which usually involves the scalar indices to determine bearing condition, is the most straightforward technique for detecting and diagnosing faults in bearings [16].”