state-based fault diagnosis
Fault Diagnosis of Discrete-Time Linear Systems Using Continuous Time Delay Petri Nets
... discrete state-space of a dynamic system, and in [11] an approach has been presented to design a state controller based on this PN for a continuous dynamic ...
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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 ...
22
Status and Analysis of Fault Diagnosis in Wireless Sensor Networks
... own fault status by collecting information from neighboring ...self- diagnosis is an important issue in wire-less sensor networks (WSNs) where each sensor node needs to learn its own fault ...for ...
7
Comprehensive Overview on Computational Intelligence Techniques for Machinery Condition Monitoring and Fault Diagnosis
... in fault prediction include BPNN [91–95], radial basis function network (RBFN), and RNN ...RNN based on competitive learning method to improve the accuracy in long-term prediction of rolling ...ANFIS ...
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Improving the Reliability in PMSM for Wind Turbine
... logic based approach has been used for fault diagnosis of a ...a fault model has been proposed for inter-turn fault of stator winding in a ...the fault model, a series of ...
7
Equipment Condition Monitoring and Diagnosis System Based on Evidence Weight
... working state of the ...the fault condition of a centrifugal pump. The defects were bearing fault (F1), seal fault (F2), impeller fault (F3), both bearing and impeller fault ...
12
Machine Fault Diagnosis and Prognosis: The State of The Art
... is based on intelligent prognosis, addresses the fundamental needs of predictive intelligence tools to monitor the degradation rather than to detect the faults in a network environment and, ultimately to optimize ...
11
Ontology-based fault diagnosis for power transformers
... individual. In OWL, it must be explicitly stated that individuals are the same as each other, or different to each other, otherwise they might be the same as each other, or they might be different to each other. Properties ...
107
Mechanical Fault Diagnosis and Repair of the Mobile Robot Based on
... The inspection also found that: the bevel gear seat and mounting base plate were placed without the use of positioning components, only relying on two screws. During power transmission, there must be some looseness ...
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Modeling Of Tow Wrinkling In Automated Fiber Placement Based On Geometrical Considerations
... Fault diagnosis and prognosis (FDP) is employed to estimate the fault state, and maintain the reliability, productivity, safety, and availability of industrial ...
144
Fault Diagnosis and Application Based on SOM Neural Network
... 1. Trained neural networks can store knowledge about the process and learn directly from quantitative, historical fault information. The network can be trained according to the normal historical data of the ...
8
A Novel Method for the Fault Diagnosis of a Planetary Gearbox based on Residual Sidebands from Modulation Signal Bispectrum Analysis
... the fault diagnosis of planetary gearboxes based on an accurate estimation of residual sidebands using a modulation signal bispectrum ...consistent diagnosis, which are evaluated by both ...
8
Research on Diagnosis of AC Engine Wear Fault Based on Support Vector Machine and Information Fusion
... D-S evidence theory is an important method in the field of multi-sensor information fusion, but its advantage is not fully utilized because is BPA is difficult to obtain. SVM is a new learning algorithm based on ...
6
Fault Diagnosis of Electronic Circuits Based on Matlab
... current fault diagnosis of power electronics is mainly divided into the following methods: 1, based on the analytical model of the method; the method can be used to evaluate the whole system, but it ...
8
A Real Time Data Driven Algorithm for Industrial Fault Diagnosis using Ethernet Based Systems
... with diagnosis and also locate the faults in real time system using real time clock of ...the fault diagnosis system uses Ethernet instead of traditional Controller Area Network (CAN) and it does not ...
7
Bearing fault diagnosis based on vibration signals
... The vibration signal obtained from operating machines contains information relating to machine condition as well as noise. Further processing of the signal is necessary to elicit information particularly relevant to ...
7
Fault diagnosis of induction motor based on decision trees and adaptive neuro fuzzy inference
... Artificial neural networks (ANNs) have been proven as a reliable technique to diagnose the condition of a motor and have good learning capability. However, ANNs are not interpretable and understandable, i.e. they are ...
21
Data–Driven Fault Diagnosis of a Wind Farm Benchmark Model
... The fault diagnosis of wind farms has been proven to be a challenging task and motivates the research activities carried out through this ...the fault diagnosis of a wind park benchmark model, ...
26
Bearing Fault Diagnosis Method Based on EMD CNNs
... In recent years, with the fast development of deep learning especially the convolutional neural networks (CNNs), image classification have achieved incredible success. Some studies show that CNNs can also be used ...
8
Research on Gearbox Fault Diagnosis Based on DCNN and XGBoost
... As a visualization tool for dimension reduction, t-SNE[7] uses conditional probability to represent the similarity between high dimensional distribution point distance and low dimensional distribution point distance. ...
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