Broken Rotor Bar Detection by Image Texture Features and Fuzzy Logic

Ferrucho-Alvarez, Edna R.; Cabal-Yépez, Eduardo; Ledesma-Carrillo, Luis M.; Martinez-Herrera, Ana L.

doi:10.1109/iecon.2019.8927407

Cited by 3 publications

(2 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Rotor manufacturing failures can be divided into two categories according to the significance of the failure: major and minor [3,4]. Major defects can be detectable by the naked eye or by using image processing [5][6][7]. These include broken bars, bars separated from the rings, bulging material on the rotor surface, or completely missing material in the ring or bar.…”

Section: Introductionmentioning

confidence: 99%

Utilization of Two Sensors in Offline Diagnosis of Squirrel-Cage Rotors of Asynchronous Motors

2021

View full text Add to dashboard Cite

In the manufacture squirrel-cage rotors of asynchronous motors, a high standard of quality is required in every part of the production cycle. The die casting process usually creates porosity in the rotor bars. This most common defect in the rotor often remains hidden during the entire assembly of the machine and is usually only detected during final testing of the motor, i.e., at the end of the production process. This leads to unnecessary production costs. Therefore, the aim is to conduct a continuous control immediately after the rotor has been cast before further processing. In our paper, we are interested in selecting a suitable method of offline rotor diagnostics of an asynchronous motor that would be effective for these needs. In the first step, the selection of the method and its integration into the overall manufacturing process is carried out. The arrangement of the sensors and their calibration is then simulated on a 2D Finite Element Model of the rotor. The proposed offline measurement procedures and technologies are finally validated by testing measurements on a rotor that simulates the most frequently occurring faults. A test system is also developed that provides the operator continuous information about the running rotor measurements and makes it easier to evaluate the quality of the cast rotor by means of graphical visualization of the faults.

show abstract

Section: Introductionmentioning

confidence: 99%

Utilization of Two Sensors in Offline Diagnosis of Squirrel-Cage Rotors of Asynchronous Motors

2021

View full text Add to dashboard Cite

show abstract

“…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.…”

mentioning

confidence: 99%

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

García Irving I,

Cabrera J. Mario

2023

IJEER

View full text Add to dashboard Cite

The methods and tools used for signal analysis extracted from the induction motors, such as the motor current signature analysis (MCSA) used for data collection on a non-invasive basis, the multi-resolution analysis (MRA) and discrete wavelet transform (DWT), are efficient tools for the signal analysis at different levels or resolutions, these tools have been applied together to improve detection of failures in the rotor of induction motors in condition of no-load. This work focuses on the study of rotor cage end ring, in a condition with lower-load or no-load where uncertainty predominates, this area of study is complicated to analyze correctly with conventional methods, but in these circumstances, the analysis using TDW has better performance. The article presents an alternative way of detecting failures in three phases induction motors in no-load state method with an optimized method and a comparison between results of the analysis with two different levels of the high-order Wavelet Daubechies, studying and evaluating its performance for the detection of broken ring, all this supported with a specific signal pre-processing and post-processing to improve the results of detection in incipient faults.

show abstract

Magnetoresistance sensor-based rotor fault detection in induction motor using non-decimated wavelet and streaming data

Kavitha

Bhuvaneswari²,

Senthilkumar

et al. 2022

Automatika

View full text Add to dashboard Cite

Broken Rotor Bar Detection by Image Texture Features and Fuzzy Logic

Cited by 3 publications

References 13 publications

Utilization of Two Sensors in Offline Diagnosis of Squirrel-Cage Rotors of Asynchronous Motors

Utilization of Two Sensors in Offline Diagnosis of Squirrel-Cage Rotors of Asynchronous Motors

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

Magnetoresistance sensor-based rotor fault detection in induction motor using non-decimated wavelet and streaming data

Contact Info

Product

Resources

About