Article

Fault diagnosis of permanent magnet synchronous motor based on MTF fusion image and NRBO-SCN method

2025-10-30

Abstract excerpt

<title>Abstract</title> <p>To address the limitations of conventional feature extraction methods in capturing fault information from operational current signals, the paper proposes a novel fault diagnosis method for permanent magnet synchronous motor(PMSM). The approach integrates markov transition field(MTF) image fusion, a newton raphson based optimization(NRBO), and a stochastic configuration network(SCN). Fir...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: cddb4ce8-5166-56e9-bf59-a7c0ea733606
DOI: 10.21203/rs.3.rs-7755588/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Fault diagnosis of permanent magnet synchronous motor based on MTF fusion image and NRBO-SCN methodDOI 10.21203/rs.3.rs-7755588/v1Read

CNN Input Data Configuration Method for Fault Diagnosis of Three-Phase Induction Motors Based on D-Axis Current in the D-Q Synchronous Reference FrameSemantic proximity Read

An Interpretable AI Approach for Machine Fault DiagnosisUsing Dynamic Gradient LRP and Guided Grad-CAM withThermographySemantic proximity Read

Robust-GSR driven lightweight CNN framework for intelligent fault diagnosis under variable-speed conditionsSemantic proximity Read

A Comprehensive Review of Artificial Intelligence-Driven Health Management of Electrical MachinesSemantic proximity Read

Intelligent Diagnosis Model for Rolling Bearing Faults Based on Multi-Modal Data FusionSemantic proximity Read

A Comprehensive Methodology for CNN Based Fault Identification in Induction Motors – A Case Study for EV’sSemantic proximity Read

Research on Mechanical Fault Diagnosis under Complex Working Conditions Based on Improved YOLOv8Semantic proximity Read

A Functional Deep Learning Framework for Rotary Machines Fault DetectionSemantic proximity Read

Research on Fault Diagnosis of Water-Based Dynamic Rodless Oil Pumping Machine Based on Manifold Learning and Genetic AlgorithmSemantic proximity Read

Parameter estimation based on novel enhanced self-learning particle swarm optimization algorithm with Levy flight for PMSGSemantic proximity Read

Fault Diagnosis for the Operating Mechanism of High-Voltage Circuit Breakers using Multi-Channel Fusion Convolutional Neural NetworkSemantic proximity Read

A Feedforward Neural Network Optimized by Fuzzy Particle Swarm for Fault Diagnosis of Hexapod RobotsSemantic proximity Read