EMD and MCSA Improved via Hilbert Transform Analysis on Asynchronous Machines for Broken Bar Detection Using Vibration Analysis

Analysis of High Frequency Component of Ultrasound Signal for Fault Evaluation of Ball Bearing in Induction Machine

“…Vibration analysis is capable of detecting unbalance errors, misalignment, and loose brackets. Some studies have been published on fault detection of bearings with this technique [8,9]. Despite its acceptable capability of detecting the faults of electromotors and other rotary machines, its sampling is time-consuming, for it should collect data from horizontal, vertical, and even axial directions.…”

A comparative study dedicated to rotor failure detection in induction motors using MCSA, DWT, and EMD techniques

“…In the presence of nonlinear and non-stationary data, the EMD has the attractive feature of robustness. It is obvious that appropriate treatment by the EMD system can yield adequate results [22,24].…”

Analysis Optimization and Comparison to Detect Failures in the Squirrel-Cage Rotor using High-Level Wavelets

“…At present, most activities have become more immediate, and processes are required to be in real time, the industry is not the exception, people in charge want to know what is the conditions of the equipment in the processes being carried out, if there were any failure in some equipment, it is desired to know as soon as possible what the cause is in order not to affect the operation of a process, ideally, this detection in early stages must be carried out without the need to have the motor to be under some type of load for the faults to be visible. In the field of signal analysis with current and voltage to detect motor failures, many techniques and methods have been used [1][2][3][4], known as MCSA [5][6][7][8][9][10][11][12][13][14], this method is the most widely used since it is a noninvasive technique and quite simple to collect signal data.…”