Application of fuzzy data fusion theory in fault diagnosis of rotating machinery

2018 ◽  
Vol 232 (8) ◽  
pp. 1015-1024 ◽  
Author(s):  
Hamideh Jafari ◽  
Javad Poshtan ◽  
Hamed Sadeghi
Keyword(s):  
Data Fusion ◽  
Induction Motor ◽  
High Reliability ◽  
Short Circuit ◽  
Fuzzy Integral ◽  
Outer Race ◽  
Stator Windings ◽  
Three Phase ◽  
Fusion Theory ◽  
Integral Data

In this article, the most common induction motor faults including bearing outer race defect, broken rotor bar, and short-circuit of stator windings are diagnosed with high reliability. The decentralized fuzzy-integral data fusion method is used for information fusion in feature level. In the proposed scheme, the feature vectors are constructed using signatures created by time-domain characteristics obtained from stator three-phase current measurements. Partial matching of each feature is calculated by the fuzzy c-mean classifier algorithm, and features with high diagnosis ability are fused by Choquet fuzzy integral. The technique is validated experimentally on the 4 hp induction motor of an electropump, and the results are presented.

Diagnostics of Stator Winding Faults in a Three-Phase Asynchronous Motor Using Park’s Vector Analysis

Vestnik MEI ◽  
2021 ◽  
pp. 69-74
Author(s):  
Muhammad Deeb ◽  
◽  
Gassan Ibragim ◽  
Talal Assaf ◽  
◽  
...  
Keyword(s):  
Induction Motor ◽  
Short Circuit ◽  
Asynchronous Motor ◽  
Vector Model ◽  
Stator Winding ◽  
Stator Windings ◽  
Stator Current ◽  
Experimental Part ◽  
Three Phase ◽  
Short Circuit Fault

The study addresses the problem of detecting a short circuit fault in the three-phase induction motor winding by monitoring the stator current Park vector (Lissajous curves). Park's vector model is implemented using the Matlab software package. The experimental part of the study was carried out on an 11 kW three-phase induction motor. The Lissajous curves obtained for a healthy motor and a motor with short-circuited turns under various load conditions were compared with each other. The obtained results have demonstrated the effectiveness of the proposed method for detecting interturn short circuit faults in the three-phase stator windings of induction motors.

scholarly journals Frequency response analysis technique for induction motor short circuit faults detection

2020 ◽  
Vol 11 (3) ◽  
pp. 1653
Author(s):  
A. A. Alawady ◽  
M. F. M. Yousof ◽  
N. Azis ◽  
M. A. Talib
Keyword(s):  
Frequency Response ◽  
Induction Motor ◽  
Short Circuit ◽  
Diagnostic Methods ◽  
Response Analysis ◽  
Frequency Response Analysis ◽  
Stator Windings ◽  
Analysis Technique ◽  
Three Phase ◽  
Internal Short Circuit

<p>The paper presents the description for diagnostic methods of induction motor's stator windings fault. The presented methods use Frequency Response Analysis (FRA) technique for detection of Winding Faults in Induction Motor . This method is previously reliable method for faults diagnosis and detection in many parts of transformers including transformer windings. In this paper, this method was used for motor windings faults detection. This paper presents the FRA response interpretation on internal short circuit (SC) fault at stator winding on three cases studies of different three-phase induction motors (TPIM), were analysed according to two status: healthy induction motor at normal winding status and same motor with windings shorted of main windings. A conclusion of this paper provides the interpretation of and validation the FRA response due to internal SC fault case by using NCEPRI algorithm, which is considered as one of certified statistical indicators. The proposed method in this paper had a useful result for detect and diagnosis of stator windings faults of TPIM. The applications of developed method can be used to detece the other machines types faults.</p>

Advance Protection for Three Phase Induction Motor using Microcontroller Atmega32

2018 ◽  
Vol 8 (1) ◽  
pp. 172
Author(s):  
Karan S Belsare ◽  
Gajanan D Patil
Keyword(s):  
Induction Motor ◽  
Low Cost ◽  
Short Circuit ◽  
Cost Factor ◽  
Protection Scheme ◽  
Three Phase ◽  
The Cost

A low cost and reliable protection scheme has been designed for a three phase induction motor against unbalance voltages, under voltage, over voltage, short circuit and overheating protection. Taking the cost factor into consideration the design has been proposed using microcontroller Atmega32, MOSFETs, relays, small CTs and PTs. However the sensitivity of the protection scheme has been not compromised. The design has been tested online in the laboratory for small motors and the same can be implemented for larger motors by replacing the i-v converters and relays of suitable ratings.

scholarly journals Static and Dynamic Performance of Vector Control on Induction Motor with PID Controller: An Investigation on LabVIEW

2021 ◽  
Vol 4 (2) ◽  
pp. 83-96
Author(s):  
Abdillah Aziz Muntashir ◽  
Era Purwanto ◽  
Bambang Sumantri ◽  
Hanif Hasyier FAkhruddin ◽  
Raden Akbar Nur Apriyanto
Keyword(s):  
Vector Control ◽  
Induction Motor ◽  
Pid Controller ◽  
High Reliability ◽  
Load Torque ◽  
Set Point ◽  
Dynamic Conditions ◽  
Low Speed ◽  
Three Phase ◽  
Static Conditions

A three-phase induction motor is often used in everyday life because of its high reliability. However, it is associated with some disadvantages, including difficulties in maintaining constant speed during load changes and speed regulation due to the decoupled system. Therefore, this study aims to adjust the three-phase induction motor control to become a separate amplifier DC motor by setting the vector control using the IFOC method, which changes the coupled to the decoupled system. The speed settings are equipped with a PID controller where its parameters, which are obtained using Ziegler Nichols, produce speed output with fast research time and small steady-state errors. This research was conducted to observe and analyze the performance of a controller based on the IFOC approach with a PID controller at speed differences, with static and dynamic conditions in the entire speed working area. In the first stage of the research, simulation is carried out with static conditions, namely changes in speed variations throughout the work area (low speed to high speed), the next stage is a simulation with dynamic conditions, which is to provide changes in the value of the load torque when the system is operating. The simulation result carried out with LabVIEW shows a response time of 1.13 ms, a settling time of 9.9 ms, and a steady error of 0.4% at the 500 Rpm set point. It also indicated dynamic characteristics with a recovery time of 4.9 ms at the 300 Rpm set point. When operated at low speed, IFOC with PID controller has a stable response. But In dynamic conditions, the use of a PID controller is considered unsuitable. This is because the PID controller is less fast and less robust in responding to the system when conditions change in the value of the load torque.

Exploring the MMF of a Three-Phase Induction Motor with Twelve-Zone Stator Windings

2021 ◽  
Author(s):  
Valerii Tytiuk ◽  
Yevhenii Modlo ◽  
Abdelmajid Berdai ◽  
Serhiy Kikovka ◽  
Victor Busher ◽  
...  
Keyword(s):  
Induction Motor ◽  
Stator Windings ◽  
Three Phase

Modeling, Analysis, of Induction Motor's Stator Turns Fault Using Neuro-Fuzzy

2021 ◽  
pp. 498-520
Author(s):  
Hussein. A. Taha ◽  
M. E. Ammar ◽  
M. A. Moustafa Hassan
Keyword(s):  
Induction Motor ◽  
Diagnostic Tool ◽  
Short Circuit ◽  
Simulated Data ◽  
Fault Detection And Diagnosis ◽  
Modeling And Analysis ◽  
Motor Current ◽  
Neuro Fuzzy ◽  
Three Phase ◽  
Detection And Diagnosis

This chapter discusses modeling and analysis methods for fault detection and diagnosis of stator inter-turn short circuit in three-phase induction machines. dq frame was used to model the induction motor for both health and fault cases to facilitate recognition of motor current and simulate motor environment. Fault diagnosis system was designed with adaptive neuro-fuzzy inference system (ANFIS) to provide an efficient online diagnostic tool. ANFIS diagnostic tool was trained with simulated data that generated by induction motor healthy and faulty models. Approached tool is verified online with a motor under different loading conditions. It determines the fault severity values using the motor current signature analysis (MCSA). Developed tool performance is investigated with a case study of two HP three-phase induction motor using Matlab/Simulink® software.

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