Fault Diagnosis
نویسندگان
چکیده
Power transformers are designed to transmit and distribute electrical power. Depending on the size of a transformer, replacement costs can range from a few hundred dollars to millions of dollars. Performing offline and invasive tests also add to the replacement cost. Hence, there is an increasing need to move from traditional schedule-based maintenance programs to condition-based maintenance. A large number of techniques are available for transformer health monitoring. However, a focused approach is required for diagnostics. Considering the long service life of a power transformer and prevalent use of human judgment (expert), there is a need to structure a knowledge base around expert knowledge while continuing to create new diagnostic capabilities which can be plugged in. This paper gives an overview about how fusion of appropriate Artificial Intelligencebased techniques can be used in diagnostics of power transformers.
منابع مشابه
A Fault Diagnosis Method for Automaton based on Morphological Component Analysis and Ensemble Empirical Mode Decomposition
In the fault diagnosis of automaton, the vibration signal presents non-stationary and non-periodic, which make it difficult to extract the fault features. To solve this problem, an automaton fault diagnosis method based on morphological component analysis (MCA) and ensemble empirical mode decomposition (EEMD) was proposed. Based on the advantages of the morphological component analysis method i...
متن کاملA Fault Diagnosis Method for Automaton Based on Morphological Component Analysis and Ensemble Empirical Mode Decomposition
In the fault diagnosis of automaton, the vibration signal presents non-stationary and non-periodic, which make it difficult to extract the fault features. To solve this problem, an automaton fault diagnosis method based on morphological component analysis (MCA) and ensemble empirical mode decomposition (EEMD) was proposed. Based on the advantages of the morphological component analysis method i...
متن کاملUsing Wavelet Support Vector Machine for Fault Diagnosis of Gearboxes
Identifying fault categories, especially for compound faults, is a challenging task in mechanical fault diagnosis. For this task, this paper proposes a novel intelligent method based on wavelet packet transform (WPT) and multiple classifier fusion. An unexpected damage on the gearbox may break the whole transmission line down. It is therefore crucial for engineers and researchers to monitor the...
متن کاملDiagnosis of Different Types of Air-Gap Eccentricity Fault in Switched Reluctance Motors Using Transient Finite Element Method
This paper presents a method for diagnosis of eccentricity fault in a switched-reluctance motor (SRM) during offline and standstill modes. In this method, the fault signature is differential induced voltage (DIV) achieved by injecting diagnostic pulses to the motor windings. It will be demonstrated by means of results that there is a correlation between differential induced voltage and eccentri...
متن کاملFault Diagnosis and Fault-Tolerant SVPWM Technique of Six-phase Converter under Open-Switch Fault
In this paper, a new open-switch fault diagnosis method is proposed for the six-phase AC-DC converter based on the difference between the phase current and the corresponding reference using an adaptive threshold. The open-switch faults are detected without any additional equipment and complicated calculations, since the proposed fault detection method is integrated with the controller required ...
متن کاملApplication of Radial Basis Neural Networks in Fault Diagnosis of Synchronous Generator
This paper presents the application of radial basis neural networks to the development of a novel method for the condition monitoring and fault diagnosis of synchronous generators. In the proposed scheme, flux linkage analysis is used to reach a decision. Probabilistic neural network (PNN) and discrete wavelet transform (DWT) are used in design of fault diagnosis system. PNN as main part of thi...
متن کامل