fault detection and diagnosis
Fault Detection and Diagnosis of Electric Drives Using Intelligent Machine Learning Approaches
... In recent decades, articial intelligence (AI) has played a significant role in the creation of machines that function as closely as possible to human brains as well as researching in some dynamic topics. Humans solve ...
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Fault detection and diagnosis of a plastic film extrusion process
... the fault but insensitive to both disturbances, which is the desired property of a FD ...successfully, fault diagnosis has not been ...conducts fault diagnosis after fault ...
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Fault detection and diagnosis via improved multivariate statistical process control
... The combination of Statistical Process Control (SPC) charts and multivariate analysis approach is used for Fault Detection and Diagnosis (FDD) in the chemical process. Principal Component Analysis ...
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FUZZY BASED FAULT DETECTION AND DIAGNOSIS IN PNEUMATIC ACTUATOR IN CEMENT INDUSTRY
... model-based fault diagnosis began in the early 1970s. This method of fault detection in dynamic systems has been receiving more and more attention over the last two ...a fault may lead ...
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Open circuit fault detection and diagnosis in matrix converters
... a fault detection and diagnosis method that is both fast and ...circuit fault detection in AC-AC converters is the error voltage method, in these methods the node voltages of an ...
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Signal Model-Based Fault Detection and Diagnosis for Induction Motors Using Features of Vibration Signal in Two- Dimension Domain
... The fault detection and diagnosis methods for induction motors are wide such as current spectrum analysis, vibration analysis and acoustic analysis for different types of motor fault ...
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Fault detection and diagnosis of a plastic film extrusion process
... desired fault detection property. In addition to fault detection, the simulation results in Section 5 showed that fault diagnosis could also be conducted ...
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Fault Detection and Diagnosis of CAN Bus for Modern Automobiles and Industries
... Adaptive Fault Diagnosis algorithm for Controller Area Network(AFDCAN) is used to detects all faulty nodes on the ...the fault-free processors accurately diagnoses the actuator ...last ...
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A Desk top tutorial Demonstration of Model based Fault Detection and Diagnosis
... The fault detection and diagnosis are then carried out with reference to given thresholds including warning levels and fault alarm ...a fault occurred as well as its severity can be ...
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An Interval Type-2 Fuzzy Logic Approach for Instrument Fault Detection and Diagnosis
... the Fault Detection and Diagnosis (FDD) field had received extensive ...Instrument Fault Detection and Diagnosis is a potential tool to prevent process performance degradation, ...
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PV Module Fault Detection & Diagnosis
... and detection of ...for fault detection. Method 1: fault detection by signal response in PV module ...2: fault diagnosis in PV system using discrete wavelet transform ...
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Fault Detection and Isolation in Industrial Systems Based on Spectral Analysis Diagnosis
... of fault detection and isolation industrial ...Keywords: Diagnosis; Spectral Analyzes; Faults Detection and Isolation; Condition Monitoring ...
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Model based Fault Detection and Diagnosis of the Anti lock Braking System
... Although there is a self test in ABS, this test usually examines the electrical circuit instead of mechanical performance. It will be a disaster if the ABS passes the self-test but failure for mechanical reasons because ...
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Fault Detection and Diagnosis of Induction Motors Based on Higher-Order Spectrum
... B = and B 26 ( = B 62 ) observed to remain comparable with the amplitudes for the healthy condition (Fig. 6-7). However, in case of the faulty rotor case the peak, B 22 , reduced significantly from the healthy condition ...
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Fault Detection and Diagnosis in Heavy Duty Diesel Engines Using Acoustic Emission
... induced fault conditions were investigated; fuel starvation through disconnection of the fuel- feed pipe to an individual cylinder, and reduced injection discharge ...
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A Novel Approach for Detection and Diagnosis of Process and Sensor Faults in Electro-Hydraulic Actuator
... for fault detection and diagnosis (FDD) of sensor as well as process faults for Electro-Hydraulic Actuators (EHA) using a bank of residual generators, each of which employs an Extended Kalman Filter ...
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Robust Fault Diagnosis for Discrete-Time Switched System with Unknown State Delays Subject to Component Faults
... about fault diagnosis of switched systems has been a hot top- ic ...of fault in the field of model-based systems, including actua- tor fault, sensor fault and component fault or ...
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Diagnosis Model of Motor Fault of Precooled Air Conditioning Unit Based on Multivariable LSTM
... Traditional fault detection methods based on frequency analysis of vibration signals need high sampling ...motor fault diagnosis model is constructed based on long short-term memory neural ...
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AUTOMATED FAULT DETECTION, DIAGNOSIS AND MANAGEMENT OF WSN.
... Existing Self-configuring Algorithm- In WSN sensor nodes are in a virtual grid structure in which the network nodes are divided into several cells. One node in each cell is selected as cell manager. Upper level nodes of ...
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Motor Health Detection using Fuzzy Logic
... and detection techniques, latest trends, and diagnosis methods supported by the artificial intelligence, the microprocessor, the computer, and other techniques in monitoring and protection technologies have ...
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