fault diagnosis method
Bearing Fault Diagnosis Method Based on EMD CNNs
... extraction method of ...processing method, which means less manual ...transform method with time do maim feature extraction is used, which is combined with convolutional neural networks (CNNs)[2] is ...
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Fault Diagnosis Method Based on Modified Multiscale Entropy and Global Distance Evaluation for the Valve Fault of a Reciprocating Compressor
... a fault diagnosis method of a reciprocating compressor valve based on modified multiscale entropy (MMSE) and global distance evaluation (GDE) is ...(VMD) method with superior anti-interference ...
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Fault Diagnosis Method Based on Adaptive Weight Adjustment and CBR Theory
... the fault diagnosis method based on CBR and entropy method proposed here, this paper used the repair data of air data system from 2010 to 2012 of an airline for application and ...mon ...
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An Improved Bearing Fault Diagnosis Method using One-Dimensional CNN and LSTM
... bearing fault diagnosis has attracted many researchers’ ...bearing fault diagnosis normally requires three steps, including data pre-processing, feature extraction and pattern classification, ...
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A Power Grid Fault Diagnosis Method based on Ensemble Decision Tree
... The reason for the failure of the grid is complicated. On the one hand, because the majority of the information comes from the grid signal whose description dimension is higher; on the other hand, it is a low probability ...
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MOBILE SINK BASED RELIABLE AND ENERGY EFFICIENT DATA GATHERING TECHNIQUE FOR WSN
... the fault in it. In this paper a new fault diagnosis method by using the total harmonic distortion (THD) of the voltage waveform and to classify the fault, neural network (NN) trained ...
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An Analog Circuit Diagnosis Method Based on Adaptive-Kernel ICA
... circuit fault diagnosis method based on an adaptive kernel function is ...circuit diagnosis: preprocessing, feature extraction and faults ...extraction method based on AMK-ICA ...
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Polymerizer fault diagnosis algorithm based on improved the GA LMBP
... and fault diagnosis polymerizer for the large PVC batch production ...device fault diagnosis algorithm is proposed; improved LMBP algorithm and genetic algorithm (GA) combined algorithm is ...
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A Fuzzy Reasoning Method in Fault Diagnosis of House Transformer Simulating System
... the fault diagnosis of House Transformer Simulating System in this ...Fuzzy diagnosis matrix and Fault cause fuzzy vector are firstly constructed according to collection of fault ...
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IWSNs with On-sensor Data Processing for Machine Fault Diagnosis
... Machine fault diagnosis systems need to collect and transmit dynamic monitoring signals, like vibration and current signals, at ...machine fault diagnosis applications in IIoT, this paper ...
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Signal-Based Intelligent Hydraulic Fault Diagnosis Methods: Review and Prospects
... 2.2.2 Fault Diagnosis of Hydraulic System Based on Signal Processing Technology and Mathematical Model With the development of signal processing technology and faster computer computations, a variety of ...
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Power Transformer Fault Diagnosis based on Deep Learning
... new method in machine learning, deep learning has achieved brilliant results in every field with its powerful self-feature extraction capacity in the last few ...its fault diagnosis methods is of ...
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An improved wrapper-based feature selection method for machinery fault diagnosis
... Further investigation has been conducted using a recently published feature selection tech- nique in order to validate the proposed WFS method. The MRMD technique was selected after it demonstrated a good balance ...
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Fault Diagnosis and Fault-Tolerant Control of Wind Turbines via sliding mode control
... proposed method describes adaptive fault estimation algorithm smc is proposed to enhance the rapidity and accuracy performance of fault ...electrical fault scenario, the DFTG winding short ...
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Analog Circuit Diagnosis Based on SubKPCA SVM
... can diagnosis circuit fault well. SVM gets the lowest diagnosis accuracy, because there are relevant, nonlinear and redundant features ...suitably method. The KPCA- SVM and SubKPCA-SVM get the ...
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Research on Key Technologies of Fault Diagnosis of an INS
... In this paper we utilize the BIT mechanism based on the integration of passive/active tests. First, a passive test is performed on the tested object, and after it passes, an active test is conducted and the key signals ...
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Equipment Condition Monitoring and Diagnosis System Based on Evidence Weight
... The structure of modern mechanical equipment is complex, and the components af- fect one another. Abnormal equipment exhibits uncertainty and concurrency. A single sensor is limited because it can only reflect the ...
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Embedded Memory Test Strategies and Repair
... memories conventionally, but this method increases complexity and cost of integrated circuit. As per today’s deep submicron stage, testing embedded RAM in SoC becomes important to save chip yield [1-3].The ...
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Fault Diagnosis and Application Based on SOM Neural Network
... With the increasing level of science and modern technology, especially the rapid development of science in computer science and control, so that the size and complexity of the system increases rapidly, the safety and ...
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MULTI LEVEL GROUP KEY MANAGEMENT TECHNIQUE FOR MULTICAST SECURITY IN MANET
... This method can effectively solve the problems, such as low signal- to-noise ratio and low diagnostic reliability in the fault diagnosis of complex ...
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