A Comparative Study into Observer based Fault Detection and Diagnosis in DC Motors: Part-I
نویسنده
چکیده
A model based fault detection and diagnosis technique for DC motor is proposed in this paper. Fault detection using Kalman filter and its different variants are compared. Only incipient faults are considered for the study. The Kalman Filter iterations and all the related computations required for fault detection and fault confirmation are presented. A second order linear state space model of DC motor is used for this work. A comparative assessment of the estimates computed from four different observers and their relative performance is evaluated. Keywords—DC motor model, Fault detection and diagnosis Kalman Filter, Unscented Kalman Filter
منابع مشابه
A Review of Application of Signal Processing Techniques for Fault Diagnosis of Induction Motors – Part I
Abstract - Use of efficient signal processing tools (SPTs) to extract proper indices for fault detection in induction motors (IMs) is the essential part of any fault recognition procedure. The Part1 of the two parts paper focuses on Fourier-based techniques including fast Fourier transform and short time Fourier transform. In this paper, all utilized SPTs which have been employed for fault fete...
متن کاملApplication of Signal Processing Tools for Fault Diagnosis in Induction Motors-A Review-Part II
The use of efficient signal processing tools (SPTs) to extract proper indices for the fault detection in induction motors (IMs) is the essential part of any fault recognition procedure. The 2nd part of this two-part paper is, in turn, divided into two parts. Part two covers the signal processing techniques which can be applied to non-stationary conditions. In this paper, all utilized SPTs for n...
متن کاملAn Investigative Study into Observer based Non-Invasive Fault Detection and Diagnosis in Induction Motors
A new observer based fault detection and diagnosis scheme for predicting induction motors’ faults is proposed in this paper. Prediction of incipient faults, using different variants of Kalman filter and their relative performance are evaluated. Only soft faults are considered for this work. The data generation, filter convergence issues, hypothesis testing and residue estimates are addressed. S...
متن کاملIntegrated Fault-detection and Control of DC Microgrids Using SDRE Observer-controller
In this paper, using the state-dependent Riccati equation (SDRE) technique, a suboptimal fault-tolerant control scheme is designed for a DC microgrid in the islanded mode. The objectives are the voltages control of the photo-voltaic cell, the battery, the capacitor bank, and the DC bus as well as on time fault detection. In the design procedure of the SDRE observer-controller, a nonlinear mathe...
متن کاملNeural-Network-Aided On-line Diagnosis of Broken Bars inInduction Motors
This paper presents a method based on neural networks to detect broken rotor bars and end rings in squirrel cage induction motors. In the first part, detection methods are reviewed and traditional methods of fault detection as well as dynamic model of induction motors are introduced using the winding function method. In this method, all stator and rotor bars are considered independently in ord...
متن کامل