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Fault diagnosis of motor drives using stator current signal analysis based on dynamic time warping [PDF]
, 2013 Electrical motor stator current signals have been widely used to monitor the condition of induction machines and their downstream mechanical equipment. The key technique used for current signal analysis is based on Fourier transform (FT) to extract weak ...
Gu, Fengshou +6 more
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, 2023 Fault alarm time lag is one of the difficulties in fault diagnosis of wind turbine generators (WTGs), and the existing methods are insufficient to achieve accurate and rapid fault diagnosis of WTGs, and the operation and maintenance costs of WTGs are too
Huayu Zou +6 more
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, 2012 Motor current signal analysis has been an effective way for many years to monitor electrical machines. However, little research work has been reported in using this technique for monitoring their downstream equipment.
Chen, Zhi +5 more
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Bayesian-Optimized Hybrid Kernel SVM for Rolling Bearing Fault Diagnosis
, 2023 We propose a new fault diagnosis model for rolling bearings based on a hybrid kernel support vector machine (SVM) and Bayesian optimization (BO). The model uses discrete Fourier transform (DFT) to extract fifteen features from vibration signals in the ...
Guojun Ji +6 more
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Deep-Learning-Based Methodology for Fault Diagnosis in Electromechanical Systems
, 2020 Fault diagnosis in manufacturing systems represents one of the most critical challenges dealing with condition-based monitoring in the recent era of smart manufacturing.
Roque Alfredo Osornio-Rios +4 more
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Fault Diagnosis of Rolling Bearing Based on HPSO Algorithm Optimized CNN-LSTM Neural Network
, 2023 The quality of rolling bearings is vital for the working state and rotation accuracy of the shaft. Timely and accurately acquiring bearing status and early fault diagnosis can effectively prevent losses, making it highly practical.
Mingwen Feng +4 more
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, 2013 This paper deals with fault diagnosis of induction motor containing common faults by using a novel intelligent framework and transient stator current signals. This framework consists of a Fourier-Bessel (FB) expansion for analyzing the transient signals,
Tran, V.T. +8 more
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A Fault Diagnosis Support System Using Agents [PDF]
, 2005 Fault diagnosis within airplane is a complex and time consuming task. Both the efficiency and the effect of fault diagnosis are increasingly important for airplane flying on timetable and flight security.
Huizhang, Shen +3 more
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From model, signal to knowledge: a data-driven perspective of fault detection and diagnosis [PDF]
, 2013 This review paper is to give a full picture of fault detection and diagnosis (FDD) in complex systems from the perspective of data processing. As a matter of fact, an FDD system is a data-processing system on the basis of information redundancy, in which
Dai, Xuewu, Gao, Zhiwei
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DIAGNOSIS WITH A FUNCTION-FAULT MODEL
Applied Artificial Intelligence, 1989 This paper introduces a domain model for use in diagnostic problem solving. It emphasizes functional decomposition, rather than behavior, cause-effect, or spatial structure, and represents explicitly the faults of a system together with its possible explanations.
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