Condition Monitoring of an Induction Motor Stator Windings Via Global Optimization Based on the Hyperbolic Cross Points

Abstract

The objective of condition monitoring of induction machines is to detect the incipient stage of a fault before serious damage occurs with high associated cost. Although the condition monitoring techniques have been intensively investigated in the last decades, research is still carried out in reducing cost and improving accuracy. This paper proposes a novel method that enables efficient and accurate monitoring of the stator winding circuit fault. The proposed method is based on the sparse grid optimization method applied in the least squares estimation of the circuit parameters that characterize the condition of a fault incipient. The kernel of the method is the efficient search for the objective function minimum on the grid created by using the hyperbolic cross points (HCPs). The system cost and complexity are minimized since the proposed method only requires voltage and current signals recorded at a machine terminal without any invasive or additional hardware circuitry. The proposed HCP algorithm is robust to supply voltage unbalance and motor loading state. The validity and effectiveness of the proposed scheme is experimentally tested on a three-phase 800-W 380-V induction motor.

Modeling of Insulation Paper Damage in the Assembly of a Solid Slot Winding

“…In (23), PC stands for the contribution of parameter (A, B, C, D) at a certain level (1, 2, 3, 4) to the result quality η i . Table 2's OEM can represent a system of 16 linear equations with 16 unknowns, which is solvable.…”

Greedy-Gradient Max Cut-Based Fault Diagnosis for Direct Online Induction Motors

“…Induction motor fault diagnosis methods reported in the literature can be divided into three categories: 1) signature extraction-based approaches, where fault signatures in time and/or frequency domain are extracted from recorded signals, such as voltage, current, vibration and leakage flux, and are employed to diagnose faults. The Motor Current Signature Analysis (MSCA) method is one of the most popular techniques in an industrial environment, and most successful in detecting broken rotor bars or end rings [2] [3]. However, the false fault indication is a common issue using MSCA [3] [4].…”

Induction Motors Condition Monitoring System with Fault Diagnosis Using a Hybrid Approach

“…A great deal of research proposes how to classify the damage types, such as stator breakdowns, and have employed various approaches [6][7][8][9][10][11][12], including magnetic pendulous oscillation, motor current signature analysis, instantaneous active and reactive power signature analyses, and total harmonic voltage. Studies on rotor breakdowns [13][14][15][16] have used mathematical morphology and wavelet analysis.…”