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[PDF] Top 20 On-line fault diagnosis of industrial processes based on artificial intelligence techniques

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On-line fault diagnosis of industrial processes based on artificial intelligence techniques

On-line fault diagnosis of industrial processes based on artificial intelligence techniques

... 7.2 First level of the interfaceman/machinein order to start a fault simulation 107 situation 7.3 faults Interfaceman/machine to startthe simulationof doublesimultaneous in the "Continuo[r] ... See full document

215

Fault isolation in complex dynamic systems using artificial intelligence techniques

Fault isolation in complex dynamic systems using artificial intelligence techniques

... single fault assumption, single state assumption and no sensor fault assumption [Gene84] , [Hams83] , [Shub82] , ...knowledge fault isolation approach more suitable for complex dynamic systems, that ... See full document

194

Comprehensive Overview on Computational Intelligence Techniques for Machinery Condition Monitoring and Fault Diagnosis

Comprehensive Overview on Computational Intelligence Techniques for Machinery Condition Monitoring and Fault Diagnosis

... for industrial production. SVM is a machine- learning algorithm based on Vapnik-Chervonenkis theory, which is used to solve the problems of classification and prediction when the sample size is small ... See full document

14

Artificial Intelligence Tools Aided decision for Power Transformer Fault Diagnosis

Artificial Intelligence Tools Aided decision for Power Transformer Fault Diagnosis

... intelligent fault classification approach for power transformer dissolved gas analysis ...(DGA). Fault diagnosis methods by the DGA and artificial intelligence (AI) techniques ... See full document

8

Development of advanced fault diagnosis techniques for complex industrial processes

Development of advanced fault diagnosis techniques for complex industrial processes

... of techniques have been proposed to enable non-linear and robust feature extraction for process ...technique based on the Non- linear Gaussian Belief Network (NLGBN) is also proposed for process ...(SOM) ... See full document

221

Spectrum Enhanced Fault Localization with Artificial Intelligence Paradigm for Software Diagnosis

Spectrum Enhanced Fault Localization with Artificial Intelligence Paradigm for Software Diagnosis

... of Artificial Intelligence (AI) techniques [5] was presented to improve software ...model- based diagnosis (MBD) technique was utilized to propose a group of possible explanations and ... See full document

7

Application of learning techniques based on kernel methods for the fault diagnosis in industrial processes

Application of learning techniques based on kernel methods for the fault diagnosis in industrial processes

... La segunda contribuci´ on al estado del arte que se realiza en este cap´ıtulo, consiste en representar la informaci´ on obtenida del proceso de detecci´ on de fallos en un ´ unico indicador de calidad, y emplear esta ... See full document

8

Artificial Intelligence Fuzzy Inference System based Fault Detection and Isolation Scheme for Pneumatic Actuator

Artificial Intelligence Fuzzy Inference System based Fault Detection and Isolation Scheme for Pneumatic Actuator

... solve Fault Diagnosis problems in nonlinear dynamic systems can be broadly classified into three ...use artificial intelligence techniques as fault classifiers to solve ... See full document

6

Implementation of Efficient Artificial Neural Network Data Fusion Classification Technique for Induction Motor Fault Detection | Journal of Engineering Sciences

Implementation of Efficient Artificial Neural Network Data Fusion Classification Technique for Induction Motor Fault Detection | Journal of Engineering Sciences

... an industrial system is a difficult and essential problematic task for control ...for fault diagnosis depending on identification of single ...machine fault due to ambiguities in modeling ... See full document

6

Fault Detection and Isolation Scheme for Pneumatic Actuator Using Sugeno-Type Fuzzy Inference System

Fault Detection and Isolation Scheme for Pneumatic Actuator Using Sugeno-Type Fuzzy Inference System

... solve Fault Diagnosis problems in nonlinear dynamic systems can be broadly classified into three ...use artificial intelligence techniques as fault classifiers to solve ... See full document

8

A New Restricted Earth Fault Relay Based on Artificial Intelligence

A New Restricted Earth Fault Relay Based on Artificial Intelligence

... For example, in Figure 6, the phase A current of Y side is shown for a three phase fault at ∆ side in which the fault occurs at=0.2 s and the CT is severely saturated at the beginning of the second cycle of ... See full document

9

A Flexible Scheme of Fault Sensing in Power Transmission Line Using Artificial Intelligence Technics

A Flexible Scheme of Fault Sensing in Power Transmission Line Using Artificial Intelligence Technics

... transmission line is given to the input parameter is set in the image for ...or Line discovery, Edge identification, Gradient administrators, Laplacian, Hough light Simple or Adaptive Threshold, district ... See full document

7

Transformer Fault Diagnosis Based on Support Vector Machine and Cat Swarm Optimization

Transformer Fault Diagnosis Based on Support Vector Machine and Cat Swarm Optimization

... their diagnosis accuracies need ...(SVM) based faults diagnosing method in the ...swarm intelligence finding the best global ...transformer fault diagnosis based on Dissolved Gas ... See full document

5

Recent Advancements in Machine Learning and Artificial Intelligence Techniques for Cancer Diagnosis

Recent Advancements in Machine Learning and Artificial Intelligence Techniques for Cancer Diagnosis

... vision techniques as it reduces the computational resources utilized and neglect the background noise if the foreground is the only required aspect of interest ... See full document

15

Fault Diagnosis Method Based on Modified Multiscale Entropy and Global Distance Evaluation for the Valve Fault of a Reciprocating Compressor

Fault Diagnosis Method Based on Modified Multiscale Entropy and Global Distance Evaluation for the Valve Fault of a Reciprocating Compressor

... each fault vibration signal decrease progressively with the increasing of scale factor from τ = 3, which indicates that the complexity of valve fault vibration signal is ...the fault classification ... See full document

13

Analysis of Non-Manufacturing Robot Applications using Artificial Intelligence Configuration System

Analysis of Non-Manufacturing Robot Applications using Artificial Intelligence Configuration System

... this intelligence through some activities just as it would not be possible to see intelligence in a comatose ...and intelligence come from? The control program and architecture provide for real time ... See full document

6

Artificial Neural Network Based Fault Classifier for Transmission Line Protection

Artificial Neural Network Based Fault Classifier for Transmission Line Protection

... Transmission line protection is therefore an important task for reliable power system ...of fault and the faulty phase/phases is known as fault classification which is an important aspect of ... See full document

9

On-line Oil Monitoring and Diagnosis

On-line Oil Monitoring and Diagnosis

... the fault-free probability and excessive wear in the tribological ...of fault-free then decreased from 100 to 72% (white bold ...dashed line). The pitting fault was fully indicated by the ... See full document

9

The application of multilayer perceptron neural network in volume of clay estimation: Case study of Shurijeh gas reservoir, Northeastern Iran

The application of multilayer perceptron neural network in volume of clay estimation: Case study of Shurijeh gas reservoir, Northeastern Iran

... Among the conventional methods, modified natural gamma ray log proved to be the most accurate clay indicator in the both cased and open boreholes (Fertl et al. 1982; Hilchie, 1982; Serra, 2008). The other types of well ... See full document

48

The Impacts of Artificial Intelligence and Nanotechnology on Human Computer Interaction

The Impacts of Artificial Intelligence and Nanotechnology on Human Computer Interaction

... of artificial intelligence and nanotechnology on Human Computer Interaction explores the extent with which artificial intelligence and nanotechnology improves the interaction interfaces ... See full document

6

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