Intelligent Fault Diagnosis of an Induction motor in Electro-pump using Data Fusion

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Jorkesh Saeid; POSHTAN JAVAD; JAFARI HAMIDEH

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Journal Paper

Paper Information

Journal: COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING) Year:2022 | Volume:13 | Issue:2 Page(s): 15-26

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Information Journal Paper

Title

Intelligent Fault Diagnosis of an Induction motor in Electro-pump using Data Fusion

Author(s)

Jorkesh Saeid | POSHTAN JAVAD | JAFARI HAMIDEH | Issue Writer Certificate

Keywords

Independent Component Analysis

Induction motor

Neural data fusion

fault detection and diagnosis

Abstract

In this paper, the performance of the neural network in diagnosing an Induction motor situations (safe, bearing outer race, broken rotor bar and stator short circuit faults) has been evaluated using fusion ofthe pre-processed-current-and-voltagesignals information. Moreover, the robustness of the proposed approach is evaluated against the unbalanced power source and dry running of the electro-pump. Results indicate that the proposed Neural data fusion has better reliability in this fault detection application, also provides more robust behavior.

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APA: Copy

Jorkesh, Saeid, POSHTAN, JAVAD, & JAFARI, HAMIDEH. (2022). Intelligent Fault Diagnosis of an Induction motor in Electro-pump using Data Fusion. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), 13(2 ), 15-26. SID. https://sid.ir/paper/955360/en

Vancouver: Copy

Jorkesh Saeid, POSHTAN JAVAD, JAFARI HAMIDEH. Intelligent Fault Diagnosis of an Induction motor in Electro-pump using Data Fusion. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING)[Internet]. 2022;13(2 ):15-26. Available from: https://sid.ir/paper/955360/en

IEEE: Copy

Saeid Jorkesh, JAVAD POSHTAN, and HAMIDEH JAFARI, “Intelligent Fault Diagnosis of an Induction motor in Electro-pump using Data Fusion,” COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), vol. 13, no. 2 , pp. 15–26, 2022, [Online]. Available: https://sid.ir/paper/955360/en

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