Induction motor stator faults diagnosis by using parameter estimation algorithms
24 Oct 2013-pp 274-280
TL;DR: In this article, the suitability of local and global search methods to be used in the estimation of characteristic parameters that are indicating stator short circuit faults was investigated and the results of practical case studies where two search methods (local and global) are evaluated and compared.
Abstract: Parameter estimation is a cost-effective method for fault detection of induction motors. This method is based on detecting change of the characteristic parameters at presence of fault. However, the challenge of parameter estimation is nonlinearity of a machine model which results in multiple local minima involved during the computation process. This paper investigates the suitability of local and global search methods to be used in the estimation of characteristic parameters that are indicating stator short circuit faults. Results of practical case studies are presented where two search methods (local and global) are evaluated and compared. A further study in noisy environment proves the feasibility of diagnosing the fault based on stator currents with low signal to noise ratio.
Citations
More filters
TL;DR: A novel method that enables efficient and accurate monitoring of the stator winding circuit fault and 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.
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.
43 citations
Cites methods from "Induction motor stator faults diagn..."
...Based on this parameter estimation method framework, the conventional local and global search methods in the SIMULINK Parameter Estimation Toolbox have been, respectively, employed to diagnose the stator short-circuit fault in [23]....
[...]
01 Oct 2016
TL;DR: A bird's eye view on different types of faults and their diagnostics' schemes of an induction motor is presented.
Abstract: The electrical motor condition monitoring is a growing technology to detect the fault of an induction motor. It detects the unexpected faults of a critical system. Definite harmonic signals of the line current are located by a popular method known as motor current signature analysis. Different faults of an induction motor such as rotor, stator, bearing, vibration, air gap eccentricity and their different diagnosis techniques are also explored. In fact, the actual fault detection by using the human involvement is widely replaced by the automated technology, namely fuzzy-logic-based systems, genetic algorithm, neural networks, wavelet technique, Vienna monitoring etc. It is truly evident that the scope of this area is vast. Hence, acknowledging the need for future research, this review paper presents a bird's eye view on different types of faults and their diagnostics' schemes.
8 citations
Additional excerpts
...Stator fault detection is achieved by manipulating the fault parameters from voltages and currents readings at power supply terminal of the machine [5]....
[...]
01 Nov 2019
TL;DR: This work proposes an alternative methodology, based on the differential evolution algorithm, to identify stator short-circuit fault in induction motors connected directly to the electrical grid, using voltage and current signals in time domain.
Abstract: The three-phase induction motor is the main machine used for electromechanical energy conversion, due to its consolidated construction characteristics. As a consequence of its great importance and industrial application, researches in the fault identification area are constantly conducted to reduce the maintenance rate and the losses, during the productive process, caused by undesirable downtime. In this sense, this work proposes an alternative methodology, based on the differential evolution algorithm, to identify stator short-circuit fault in induction motors connected directly to the electrical grid, using voltage and current signals in time domain. The differential evolution algorithm is used to estimate the electrical parameters of the induction motor, based on the model of the equivalent electrical circuit. Stator fault is identified by calculating the variation of the estimated magnetizing inductance of the motor under no fault condition. The proposed method is validated through experimental tests on 1 HP and 2 HP motors under conditions of load torque variation and unbalanced voltages.
7 citations
Dissertation•
01 Jan 2015
TL;DR: Thesis (Ph.D.) as mentioned in this paper, University of Adelaide, School of Electrical and Electronic Engineering, 2015, presented a method to improve the performance of a wireless sensor network by using a two-dimensional sensor network.
Abstract: Thesis (Ph.D.) -- University of Adelaide, School of Electrical and Electronic Engineering, 2015
4 citations
Cites background or methods from "Induction motor stator faults diagn..."
...The parameter estimation result of local search algorithm is highly dependent on the start point [39]....
[...]
...The initial results of condition monitoring and fault diagnosis of stator short circuit faults were presented at the 9th IET International Conference on Advances in Power System Control, Operation and Management [38] and 9th IEEE International Symposium on Diagnostics for Electrical Machines, Power Electronics & Drives [39] and are published in these conferences proceedings....
[...]
...Based on this parameter estimation method framework, the conventional local and global optimisation methods in SIMULINK Parameter Estimation Toolbox have been respectively employed to diagnose stator short circuit fault in [39]....
[...]
...Thus, the parameter estimation result of local search algorithm is highly dependent on the starting point [39]....
[...]
23 Sep 2020
TL;DR: A systematic search is implemented to identify papers and other scientific and technological papers to reach state of the art and the technique of the theme of monitoring faults in induction motors, and it is possible to suggest new lines of research on the subject of detection and diagnose faults in inductive motors.
Abstract: Induction motors are the main elements for converting electrical energy into mechanics for the productive sector since their low cost and long durability include their most attractive characteristics. Also, the need to reduce maintenance costs and the implementation of predictive techniques, aiming to minimize setbacks generated by unexpected disconnections of production lines, becomes essential and a great incentive for the development of systems capable of identifying faults. Given this, this paper implements a systematic search to identify papers and other scientific and technological papers to reach state of the art and the technique of the theme of monitoring faults in induction motors. With this, the primary methods that have been used for this purpose were identified, and in this way, it is possible to suggest new lines of research on the subject of detection and diagnose faults in induction motors.
4 citations
References
More filters
Book•
01 Jun 1976
1,501 citations
"Induction motor stator faults diagn..." refers methods in this paper
...In this paper, the methods used to estimate these two characteristic parameters are based on the optimization techniques [23], [25] implemented in SIMULINK Parameter Estimation Toolbox [22]....
[...]
...In Section IV, these four parameters are estimated by using both local and global search methods [23], implemented in the SIMULINK Parameter Estimation Toolbox....
[...]
...The toolbox offers two local search methods (gradient descent and nonlinear least squares) and one global search method (pattern search) [23], [25]....
[...]
...The global search method, the Pattern Search [23], is applied to estimate parameters 𝜃𝑓 , 𝜇𝑓 , 𝑇𝐷, and 𝐾....
[...]
...The global search method, the Pattern Search [23], is applied to estimate parameters θf , μf , TD, and K....
[...]
TL;DR: The fundamental theory, main results, and practical applications of motor signature analysis for the detection and the localization of abnormal electrical and mechanical conditions that indicate, or may lead to, a failure of induction motors are introduced.
Abstract: This paper is intended as a tutorial overview of induction motors signature analysis as a medium for fault detection. The purpose is to introduce in a concise manner the fundamental theory, main results, and practical applications of motor signature analysis for the detection and the localization of abnormal electrical and mechanical conditions that indicate, or may lead to, a failure of induction motors. The paper is focused on the so-called motor current signature analysis which utilizes the results of spectral analysis of the stator current. The paper is purposefully written without "state-of-the-art" terminology for the benefit of practising engineers in facilities today who may not be familiar with signal processing.
1,396 citations
Book•
18 Mar 1993
TL;DR: In this article, the effects of time harmonics on various space-phasor loci, harmonic amplitude estimation Monitoring of the rotor speed and the rotor angle Monitoring various machine parameters Diagnosis, condition monitoring Bibliography Index
Abstract: Introduction Summary of space phasor theory On-line signal processing of space-phasor quantities The effects of time harmonics on various space-phasor loci, harmonic amplitude estimation Monitoring of the rotor speed and the rotor angle Monitoring various machine parameters Diagnosis, condition monitoring Bibliography Index
640 citations
"Induction motor stator faults diagn..." refers background in this paper
...The condition monitoring can be broadly categorized into two basic types: intrusive and non-intrusive techniques [1]....
[...]
31 Aug 1998
TL;DR: In this article, the authors present a tutorial overview of induction motors signature analysis as a medium for fault detection, and introduce the fundamental theory, main results, and practical applications of motor signature analysis for the detection and the localization of abnormal electrical and mechanical conditions that indicate, or may lead to, a failure of inductive motors.
Abstract: This paper is intended as a tutorial overview of induction motors signature analysis as a medium for fault detection. The purpose is to introduce in a concise manner the fundamental theory, main results, and practical applications of motor signature analysis for the detection and the localization of abnormal electrical and mechanical conditions that indicate, or may lead to, a failure of induction motors. The paper is focused on the so-called motor current signature analysis (MCSA) which utilizes the results of spectral analysis of the stator current. The paper is purposefully written without "state of the art" terminology for the benefit of practicing engineers in facilities today who may not be familiar with signal processing.
612 citations
TL;DR: In this article, a comprehensive review of various stator faults, their causes, detection parameters/techniques, and latest trends in the condition monitoring technology is presented. And a broad perspective on the status of stator fault monitoring to researchers and application engineers using induction motors is provided.
Abstract: Condition monitoring of induction motors is a fast emerging technology for online detection of incipient faults. It avoids unexpected failure of a critical system. Approximately 30-40% of faults of induction motors are stator faults. This work presents a comprehensive review of various stator faults, their causes, detection parameters/techniques, and latest trends in the condition monitoring technology. It is aimed at providing a broad perspective on the status of stator fault monitoring to researchers and application engineers using induction motors. A list of 183 research publications on the subject is appended for quick reference.
541 citations
"Induction motor stator faults diagn..." refers background in this paper
...On the other hand, it was reported that the artificial intelligence, such as fuzzy logic [10], [11], genetic algorithms [12], [13], neural network [14], [15] as well as techniques based on the Bayesian classifier approach [16] can improve the diagnostic accuracy significantly....
[...]