Abstract
The proposed method deals with the emerging technique called as Motor Current Signature Analysis (MCSA) to diagnosis the stator faults of Induction Motors. The performance of the proposed method deals with the emerging technique called as Motor Current Signature Analysis (MCSA) and the Zero-Sequence Voltage Component (ZSVC) to diagnose the stator faults of Induction Motors. The unalleviated study of the robustness of the industrial appliances is obligatory to verdict the fault of the machines at precipitate stages and thwart the machine from brutal damage. For all kinds of industry, a machine failure escorts to a diminution in production and cost increases. The Motor Current Signature Analysis (MCSA) is referred as the most predominant way to diagnose the faults of electrical machines. Since the detailed analysis of the current spectrum, the method will portray the typical fault state. This paper aims to present dissimilar stator faults which are classified under electrical faults using MCSA and the comparison of simulation and hardware results. The magnitude of these fault harmonics analyzes in detail by means of Finite-Element Method (FEM). The anticipated method can effectively perceive the trivial changes too during the operation of the motor and it shows in the results.
Highlights
Induction motors are a popular energy conversion component of many industrial processes and are frequentlyHow to cite this paper: Prakasam, K. and Ramesh, S. (2016) Testing and Analysis of Induction Motor Electrical Faults Using Current Signature Analysis
The effectiveness of the Motor Current Signature Analysis (MCSA) method with Zero-Sequence Voltage Component (ZSVC) to discover unusual stator faults in the three phase squirrel cage Induction Motor and to discriminate stuck between them has been proved all with its vital rewards
Personal computer aided LabVIEW based on-line condition monitoring system for induction machine was tested and the results were presented in this paper, establishing the efficiency and effectiveness of this method. This projected method has an extensive range of features like on-line MCSA system with artificial intelligence and fault rectification systems, etc. by adding some additional tools in the existing one
Summary
Induction motors are a popular energy conversion component of many industrial processes and are frequentlyHow to cite this paper: Prakasam, K. and Ramesh, S. (2016) Testing and Analysis of Induction Motor Electrical Faults Using Current Signature Analysis. There are plentiful methods are presented in existing like based on chemical monitoring, machine pulsation (vibration) monitoring, thermal monitoring, aural secretion monitoring, but all have necessitate of exclusive dedicated sensors or equipments to obtain the specific gesture to process, whereas in this projected current monitoring procedure there is no supplementary sensors required [2]. This is because of the fundamental electrical quantities linked with electromechanical industries such as voltage and currents are voluntarily deliberated by tapping into existing voltage and current transformers at the protection system. A diversity of stipulation monitoring schemes was introduced for an analysis of unexpected surroundings
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