Model Based Fault Detection Method
Railway bridge structural health monitoring and fault detection: state of the art methods and future challenges
... the method was applied to a laboratory case study, some false alarms have been ...the method was applied to a real bridge case study, as the method currently does not account for the influence of the ...
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A Cloud Computing Fault Detection Method Based on Deep Learning
... In recent years, with the idea of deep learning, depth learning can use a large number of unlabeled data to achieve unsupervised automatic learning [13], through data feature extraction, and then can be used for ...
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Wind turbine fault detection and identification through PCA based optimal variable selection
... turbine model with grid connection is simulated in ...is based on the benchmark model developed by PSCAD [24]. The model comprises a mechanical model of a turbine, which simulates the ...
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Model-based fault detection and isolation for wind turbine
... Multi Objective Genetic Algorithm (MOGA) is used to minimise the objective functions. It is more suitable than other approaches such as genetic algorithm because an equality constraint is not required to apply with MOGA ...
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Broken Rotor Bar Fault Detection of Induction Motors Using a Joint Algorithm of Trust Region and Modified Bare-bones Particle Swarm Optimization
... precise detection of the fault feature parameter of motor current is a new research hotspot in the broken rotor bar (BRB) fault diagnosis of induction ...new detection method ...
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Torque Analysis of Faulty SRM using FEA TFR Approach
... A detection model allows SRM behavior to be determined under different varying degree of dynamic eccentricity fault is built based on the Finite Element Method Magnetics FEMM combined wi[r] ...
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Detection of Faulty Sensors in Wireless Sensor Networks and Avoiding the Path Failure Nodes
... novel fault detection method which utilizes system redundancy but without requiring knowledge of a physics-based system model or the existence of reference sensors is ...The ...
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Model based wind turbine gearbox fault detection on SCADA data
... classical method to develop fault detection ...is based on vibration signals, which is effective to detect failures with high frequency signal ...on fault detection is still an ...
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A Desk top tutorial Demonstration of Model based Fault Detection and Diagnosis
... to model the system provided that all the parameters in the construction of the system can be ...non-parameter model may be developed by using artificial method like neural networks ...NN ...
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Fault Detection of an Industrial Heat-Exchanger: A Model-Based Approach
... for fault detection is how to accommodate the level of detail of the model description to suit the diagnostic ...continuous model parameters are calculated by the least squares method ...
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Vol 3, No 1 (2017)
... (TW) based fault location is considered as a very accurate model, however, it needs high sampling frequency to detect ...costly method when applied. To overcome the problem of precise ...
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Fault detection of batch process based on multi way Kernel T PLS
... above method obtain process data matrix X and quality data matrix Y , and then build MKT-PLS model with these ...T-PLS model for fault diagnosis after process data matrix X mapping to a high ...
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Wide area measurements based fault detection and location method for transmission lines
... the fault based on sparsely located wide area synchronized measure- ments are presented in ...the fault. In [23], the fault location is formulated as a sparse estima- tion problem, which can ...
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Loss of Main Monitoring and Detection for Distributed Generations Using Dynamic Principal Component Analysis
... (PCA) based fault detection method is extended to the dynamic monitoring and detection of loss-of-main in power systems using wide-area synchrophasor ...PCA model was built and ...
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Fault Detection for Discrete time Switched Systems Based on Descriptor Observer Method
... the fault can not be deleted immediately, it may cause a big impact on the whole system and even cause potentially catastrophic ...with fault detection problem for various dynamic systems[5, 6, ...as ...
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DETECTION OF TRANSMISSION LINE FAULTS IN THE PRESENCE OF THYRISTOR CONTROLLED REACTOR USING STOCKWELL TRANSFORM
... Accurate detection of these power system faults is essentially required for providing effective protection and relaying system of power system ...the detection of power system faults in the presence of ...
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PV Module Fault Detection & Diagnosis
... this method we present a new technique for fault detection using current and voltage values in comparison to the maximum measured value obtained during normal operating ...Specific detection ...
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Fault Tolerance Limits and Input Stimulus Selection Using an Implemented FPGA Based Testing System
... The fault list consists of all hard faults (shorts and opens) on passive components and bipolar ...the fault list. The target fault set formed consists of 128 faulty cases (opens and ...known ...
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Robust Component-based Face Detection Using Color Feature
... Face detection is an important topic in many ...face detection approach based on color ...proposed method is even able to localize occluded facial ...
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Outlier Detection in Climatology Time Series with Sliding Window Prediction
... other method [3][4]. Anomaly detection and outlier mining are the different terms with almost same ...outlier detection is to find type of abnormality in any data set and find a way to spot that as ...
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