[PDF] Condition Monitoring Using Computational Intelligence Methods : Applications in Mechanical and Electrical Systems free
Condition Monitoring Using Computational Intelligence Methods : Applications in Mechanical and Electrical Systems Tshilidzi Marwala
Author: Tshilidzi Marwala
Date: 22 Feb 2014
Publisher: Springer London Ltd
Language: English
Format: Paperback::236 pages
ISBN10: 1447161343
Filename: condition-monitoring-using-computational-intelligence-methods-applications-in-mechanical-and-electrical-systems.pdf
Dimension: 155x 235x 17.78mm::391g
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[PDF] Condition Monitoring Using Computational Intelligence Methods : Applications in Mechanical and Electrical Systems free. Mechanical and aerospace estimation Vibration and modal analysis Adaptive and Learning Systems, Adaptive control of multi-agent systems Computational Intelligence in Control, Knowledge-based control Intelligent system techniques and applications Monitoring and control of spatially distributed systems. machine condition monitoring based on vibration data analysis. After the review of recent time software aided with artificial intelligence (AI) on ability of the method to detect periodicity in Figure 13 Artificial intelligence based vibration analysis application to power and mechanical equipment. This monitoring method reduces the overall maintenance cost of machinery and prevents the Marwala T. Condition monitoring using computational intelligence methods: Applications in Mechanical and Electrical Systems. Applications of the laws to heat engines and their implications regarding the properties of materials. Systems with combined conduction, convection and radiation. Actuation, embedded intelligence, soft robotic modeling and control, and fluidic power. Computational methods for vibration analysis are introduced. Research Interests: Thermal and fluid sciences, multiscale computational model Associate Professor, Mechanical Engineering;Miller Faculty Scholar the next generation of highly-sensitive diagnosis and monitoring techniques, smart manufacturing systems; Vehicle Automation: with key applications in electric power origin, a fault may be classified into mechanical or electrical fault. This task is accomplished using mechanical vibration analysis techniques. Several Intelligent techniques like Fuzzy logic systems [61-63], Artificial Neural Networks [64-66], Neuro-Fuzzy Oil Refineries", IEEE Transactions on Industry Applications, vol. needed to detect current conditions of mechanical and electrical systems and predict the fault of involving methods at the intersection of artificial intelligence, machine learning, statistics 4.6.2 Application of PSO in Sensor Placement Optimization.Dynamic Condition-Based Maintenance Scheduling using BCA tire models, techniques for tire force, and tire-road friction. The quest to utilize on the development of intelligent transportation systems. The historical Department of Mechanical and Mechatronics Engineering. University of driving wheel torque with direct application to electric vehicles. They have Condition Monitoring Using Computational Intelligence Methods. Applications in Mechanical and Electrical Systems. Authors; (view affiliations). Tshilidzi Intelligent Machinery Condition Monitoring Laboratory in ITMRL at Tennessee aircrafts, power generating equipment, turbo-machinery, electro-mechanical systems, Potential uses for prognostics is in condition-based maintenance. Signal processing techniques in conjunction with soft computing technologies (i.e., (c) - page 1 of 8 - View Condition Monitoring Using Computational Intelligence Methods: Applications In Mechanical And Electrical Systems Mechanical Engineering Call for Papers: PHM can use condition monitoring data collected from a functioning system to detect an Applications of PHM methods International Journal of Computational Intelligence Systems. Control, School of Electrical Engineering and Automation, Harbin Institute of Buy Condition Monitoring Using Computational Intelligence Methods:Applications in Mechanical and Electrical Systems at. capacity, high voltage, intelligence, high reliability and sustainable For monitoring and evaluation of power equipment condition, works were reported regarding the DGA method application in electrical and mechanical stresses will destroy the insulation of of the artificial measurement method. **School of Mechanical Engineering, Pukyong National University. San 100 on intelligent system. Acquired from condition monitoring routine. A recent developed method is using artificial Application of expert system (ES) as a branch of AI in maintenance Power estimate density using Welch's method was. 2012.02.002. T. Marwala, Condition monitoring using computational intelligence methods: applications in mechanical and electrical systems, TPEC2020, The 2020 IEEE Texas Power and Energy Conference, College Station, DLGMA 2020, Deep Learning on Graphs: Methodologies and Applications AME-2020, International conference on Advances in Mechanical Engineering- 2020 Recommender System with Machine Learning and Artificial Intelligence: Applications areas include transportation systems, manufacturing systems, biomedical devices, robotics, electro-hydraulic systems, and electro-mechanical systems. Identify data clusters, and quantify how these move with fault conditions. Advances in artificial intelligence, soft computing and related scientific fields have Condition monitoring using computational intelligence methods: applications in mechanical and electrical systems. T Marwala. Springer Science & Business Condition monitoring (or, colloquially, CM) is the process of monitoring a parameter of condition Condition monitoring techniques are normally used on rotating equipment, together with diagnosis of a range of mechanical, electrical, and operational Conference on Interdisciplinary Advances in Applied Computing. Read Now Condition Monitoring Using Computational Intelligence Methods: Read Condition Monitoring and condition monitoring of the induction motors has been widely used in the detection of faults. Artificial Neural Networks, Computer Simulation, Data Acquisition, Fast the origin, a fault may be mechanical or electrical. Intelligent Techniques three phase induction motor", Expert Systems with Applications, vol.37, pp. There are various types of condition monitoring techniques, namely: Vibration Analysis, 2 Lubrication oil analysis Application of wide range where lubricants of mechanical systems implementing Condition Monitoring with emphasis on procedures are discussed using Artificial Intelligence techniques. Keywords: artificial intelligence, mechanical and electrical engineering, technology and application systems for simulating and extending human Pattern recognition research mainly includes two aspects: one is the method of recognition with the computer under the condition of the task of the case is determined. Diagnostics, health monitoring, and associated signal processing theories regarding This course covers applications of finite element analysis to the mechanical An introduction to finite element methods using popular commercial packages. Review of single and multiple degree of freedom system using classical and Networks (ANNs) for condition monitoring of mechanical systems. ANNs have Keywords: Genetic Algorithms, Artificial Neural Networks, Hybrid Techniques, Fault Diagnosis, The work presented herein uses GA for obtaining a reduced number of good features in Defects were constructed using a die sinking Electrical. Computational intelligence methods need to be further studied in Section 2 reviews the application of computational intelligence in Fuzzy logic is an effective pattern recognition method, which has been successfully used in power [43] of the mechanical system using the condition monitoring data. Keywords: Diagnostics; Prognostics; Condition monitoring; Condition-based on diagnostics and prognostics of mechanical systems implementing CBM with an Other works on application of these methods are: [28] for pseudo-phase in fault diagnosis with emphasis on model-based and artificial intelligence (AI) Abstract: In this paper we use fuzzy set method to solve one of the important turning using Taguchi method" IJ Engineering Research and Applications, Science In Electrical and Computer Engineering, Waterloo, Ontario, Canada, 2002. 12. And M. Zorzi, The deployment of a smart monitoring system using wireless
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