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Bearing fault diagnosis based on feature extraction of empirical wavelet transform (EWT) and fuzzy logic system (FLS) under variable operating conditions

Fawzi Gougam, Chemseddine Rahmoune, Djamel Benazzouz, Boualem Merainani
2019 Journal of Vibroengineering  
This method uses a combination between Empirical wavelet Transform (EWT) and Fuzzy logic System (FLS), in order to detect and localize the early degradation of bearing state under different working conditions  ...  In this paper, we propose a new hybrid and automatic approach for bearing faults diagnosis.  ...  logic system Instead of classic logic (Boolean logic) [30, 31] , Lotfi Zadeh created a more precise method resting on the intermediary values between {0, 1}, this method is called Fuzzy Logic where this  ... 
doi:10.21595/jve.2019.20092 fatcat:lhre4xlw2rf5hhd7wqdhf7etwe

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

Wan Zhang, Min-Ping Jia, Lin Zhu, Xiao-An Yan
2017 Chinese Journal of Mechanical Engineering  
Computational intelligence is one of the most powerful data processing tools to solve complex nonlinear problems, and thus plays a significant role in intelligent fault diagnosis and prediction.  ...  This review may be considered as a useful guidance for researchers in selecting a suitable method for a specific situation and pointing out potential research directions.  ...  Stetter, et al [103] , used fuzzy logic to monitor the health status of the pump system in an engine.  ... 
doi:10.1007/s10033-017-0150-0 fatcat:7e7qq3xewzhqtdvb2np6q3ftv4

Methods of Condition Monitoring and Fault Detection for Electrical Machines

Karolina Kudelina, Bilal Asad, Toomas Vaimann, Anton Rassõlkin, Ants Kallaste, Huynh Van Khang
2021 Energies  
Nowadays, electrical machines and drive systems are playing an essential role in different applications. Eventually, various failures occur in long-term continuous operation.  ...  In this review article, there are studied different diagnostic techniques that can be used for algorithms' training and realization of predictive maintenance.  ...  Fuzzy Logic Fuzzy logic is another algorithm successfully applied in various control applications of energy systems, which resembles human perception processes and cognition [33] .  ... 
doi:10.3390/en14227459 fatcat:hjwyeo4f5zcsvmcozqy4pdtrcy

Machine Fault Diagnosis and Prognosis: The State of The Art

Tran Van Tung, Bo-Suk Yang
2009 International Journal of Fluid Machinery and Systems  
Machine fault diagnostic and prognostic techniques have been the considerable subjects of condition-based maintenance system in the recent time due to the potential advantages that could be gained from  ...  (Paper number R08030) Corresponding author: Bo-Suk Yang, Professor, bsyang@pknu.ac.kr Knowledge-Based Approaches Knowledge-based system (KBS) or expert system (ES) for fault diagnosis is performed based  ...  The fuzzy-logic inference was used in this system for developing the diagnostic rules of the data base in the present fault diagnosis system.  ... 
doi:10.5293/ijfms.2009.2.1.061 fatcat:btjf42m6mbd33aszky7i4tukrq

Application of sensor fusion and signal classification techniques in a distributed machinery condition monitoring system

Karl M. Reichard, Mike Van Dyke, Ken Maynard, Belur V. Dasarathy
2000 Sensor Fusion: Architectures, Algorithms, and Applications IV  
The role and integration of prognostic algorithms -required to predict future system health -are also discussed.  ...  This paper describes the system architecture, data fusion, and classification algorithms employed in a distributed, wireless bearing and gear health monitoring system.  ...  Figure 2 . 2 Data reduction in condition monitoring system. Figure 3 . 3 Fuzzy-logic classifier for roller bearing fault classification. Figure 4 . 4 Time Remaining In Event Estimation.  ... 
doi:10.1117/12.381646 fatcat:v2otnuoo6bantidr7bgzbewnnq

Faults detection based on fuzzy concepts for vibrations monitoring in gas turbine

Alili Bachir, Hafaifa Ahmed, Iratni Abdelhamid
2020 Diagnostyka  
In this paper, the faults detection approach based on fuzzy logic is applied for the vibrations monitoring of a gas turbine, in order to monitor their operating state by including the detection and occurrence  ...  The use of new technologies in modern industry improves productivity but induces complexity in the industrial system.  ...  ACKNOWLEDGMENTS This work is supported by the Directorate General for Scientific Research and Technological Development (DGRSDT) and was carried out at the Applied Automation and Industrial Diagnostics  ... 
doi:10.29354/diag/129581 fatcat:xdaogt3uevh5hdohpjz2mq4pxm

Acoustic Emission Signal Analysis and Artificial Intelligence Techniques in Machine Condition Monitoring and Fault Diagnosis: A Review

Yasir Hassan Ali, Roslan Abd Rahman, Raja Ishak Raja Hamzah
2014 Jurnal Teknologi  
Many different methods have been previously developed on the basis of intelligent systems such as artificial neural network, fuzzy logic system, Genetic Algorithms, and Support Vector Machine.  ...  However, the use of Acoustic Emission signal analysis and artificial intelligence techniques for machine condition monitoring and fault diagnosis is still rare.  ...  Fuzzy logic Based Fault Diagnosis Zadeh introduced the fuzzy logic in 1965 [41] [42] [43] .  ... 
doi:10.11113/jt.v69.3121 fatcat:zi2tpwcpb5fttgxurtpuzeduzq

Fault detection and diagnosis in induction motor using artificial intelligence technique

M.S. Khireddine, N. Slimane, Y. Abdessemed, M.T. Makhloufi, M. Belhaq
2014 MATEC Web of Conferences  
A fuzzy logic approach may help to diagnose induction motor faults.  ...  In fact, fuzzy logic is reminiscent of human thinking processes and natural language enabling decisions to be made based on vague information.  ...  Stator condition monitoring using fuzzy logic This paper applies fuzzy logic to induction motors fault detection and diagnosis. The motor condition is described using linguistic variables.  ... 
doi:10.1051/matecconf/20141610004 fatcat:omdtnulzsnh7tb2hvanbwmu6ty

Soft Computing Based Fault Diagnosis

K. Vinoth Kumar, S. Suresh Kumar, Badugu Praveena
2010 International Journal of Computer and Electrical Engineering  
The fuzzy logic techniques are rather easy to develop and to perform.A Simulink model are developed in Matlab/SIMULINK for Induction Motor using Fuzzy-logic Controller to analyze the performance under  ...  The fault detection using analytical methods is not always possible because it requires a perfect knowledge of the motor model.  ...  The various AI techniques, expert systems, artificial neural networks (ANNs), fuzzy logic, fuzzy neural networks (NNs), genetic algorithms, etc. for the fault diagnostics of stator faults have been reported  ... 
doi:10.7763/ijcee.2010.v2.223 fatcat:elytcknnxfdwppdkquxdtmjzc4

Diagnostics of Bearing Defects Using Vibration Signal

Kayode Oyeniyi Oyedoja
2012 International Journal of Computer and Electrical Engineering  
This paper studies the use of hybrid intelligent system in Diagnosis of rotating machinery bearing defects.  ...  Index Terms-ANFIS, bearing fault, fault diagnosis, MATLAB, rotating machinery vibration, K. O. Oyedoja received is B.Eng., M. Eng., in Electrical Engineering (  ...  It has also been shown that autonomous fault diagnostic system can be developed with the use of ANFIS.  ... 
doi:10.7763/ijcee.2012.v4.612 fatcat:fopuwzkqlzb3xakqocwen4xkdq

A general scheme for induction motor condition monitoring

Pedro Vicente, Jover Rodriguez, Marian Negrea, Antero Arkkio
2005 2005 5th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives  
In this layout, fuzzy logic was used to analyze the data and make decisions.  ...  Fuzzy logic approach is used to make decisions about the motor condition. Fuzzy logic can describe the characteristics of an industrial process with linguistic terms.  ... 
doi:10.1109/demped.2005.4662492 fatcat:2rgpie7lybdx5kmlfrl3ykim6u

Nuclear Power Plant Instrumentation Fault Detection Using Fuzzy Logic

Keith E. Holbert, Kang Lin
2012 Science and Technology of Nuclear Installations  
The use of fuzzy logic is described herein for the purpose of performing the decision making regarding the system status and the possible need for component maintenance.  ...  Fuzzy-logic-based diagnostic monitoring is applied to data acquired from instrumentation within operating facilities.  ...  Mechefske applied fuzzy logic techniques to classify frequency spectra that represent various rolling element bearing faults [22] .  ... 
doi:10.1155/2012/421070 fatcat:7b6rrprsmvhgxj3sdcelac45te

A Review of Intelligent Fault Diagnosis for High-Speed Trains: Qualitative Approaches

Chao Cheng, Jiuhe Wang, Hongtian Chen, Zhiwen Chen, Hao Luo, Pu Xie
2020 Entropy  
For ensuring the safety and reliability of high-speed trains, fault diagnosis (FD) technique plays an important role.  ...  to extract the diagnostic knowledge of high-speed trains, where the purpose is to understand how to use these types of knowledge.  ...  One of the more successful applications to high-speed trains is the fuzzy logic reasoning system, mainly including pure fuzzy logic systems, "Takagi-Sugeno" fuzzy logic systems, and "Mandani" fuzzy logic  ... 
doi:10.3390/e23010001 pmid:33374991 pmcid:PMC7822053 fatcat:rimr2xaq45a7rafbfdde33nmam

A SURVEY ON PROGRESS AND DEVELOPMENT OF INDUCTION MOTORS' INCIPIENT FAULT DETECTION TECHNIQUES DURING LAST THREE DECADES

Makarand Sudhakar Ballal, G. N Surya, Z. J Khan
2016 Journal of research in engineering and applied sciences  
Enhancement of induction motors efficiency and their life span through various incipient fault detection and diagnostic methods has been the focus of a number of intensive researches carried out during  ...  The tools and techniques employed in those researches vary from use of sensors to steady-state spectral components of the stator quantities.  ...  In [121] fuzzy logic approach and in [122] , adaptive neural fuzzy inference system is applied for same type of fault detection.  ... 
doi:10.46565/jreas.2016.v01i02.002 fatcat:dp4pr23su5h3zjhmx3uzs77vqq

The Role of Artificial Intelligence (AI) in Condition Monitoring and Diagnostic Engineering Management (COMADEM): A Literature Survey

B. K. Nagaraja Rao
2021 American Journal of Artificial Intelligence  
AI techniques such as, knowledge based systems, expert systems, artificial neural networks, genetic algorithms, fuzzy logic, casebased reasoning and any combination of these techniques (hybrid systems)  ...  In this paper, an attempt is made to review the role of artificial intelligence in condition monitoring and diagnostic engineering management of modern engineering assets.  ...  Haitham Ramadan [38] has developed fault Diagnosis model and Remnant Life Estimation model using diagnostics and data interpretation techniques based on fuzzy logic technique, These models take a set  ... 
doi:10.11648/j.ajai.20210501.12 fatcat:gvplqmpqubdw3pquik5eavux5u
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