Intelligent Condition Monitoring And Diagnosis Systems PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Intelligent Condition Monitoring And Diagnosis Systems PDF full book. Access full book title Intelligent Condition Monitoring And Diagnosis Systems.
| Author | : Kesheng Wang |
| Publisher | : IOS Press |
| Total Pages | : 136 |
| Release | : 2003 |
| Genre | : Computational intelligence |
| ISBN | : 9781586033125 |
Download Intelligent Condition Monitoring and Diagnosis Systems Book in PDF, ePub and Kindle
This work covers intelligent system development. In order to survive in an uncertain environment, it is necessary to bring artificial neural networks, fuzzy logic systems, genetic algorithms and expert systems together to make a condition monitoring and diagnosis system more reliable and cost effective than a traditional one. The focus of intelligent condition monitoring and diagnosis system is on practical applications of intelligent techniques. The text provides practicing engineers and scientists with the information they need to solve the problems in both industry and academia.
| Author | : Lihui Wang |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 411 |
| Release | : 2006-08-02 |
| Genre | : Technology & Engineering |
| ISBN | : 1846282691 |
Download Condition Monitoring and Control for Intelligent Manufacturing Book in PDF, ePub and Kindle
Condition modelling and control is a technique used to enable decision-making in manufacturing processes of interest to researchers and practising engineering. Condition Monitoring and Control for Intelligent Manufacturing will be bought by researchers and graduate students in manufacturing and control and engineering, as well as practising engineers in industries such as automotive and packaging manufacturing.
| Author | : Diego Galar Pascual |
| Publisher | : CRC Press |
| Total Pages | : 550 |
| Release | : 2015-04-22 |
| Genre | : Computers |
| ISBN | : 1466584068 |
Download Artificial Intelligence Tools Book in PDF, ePub and Kindle
Artificial Intelligence Tools: Decision Support Systems in Condition Monitoring and Diagnosis discusses various white- and black-box approaches to fault diagnosis in condition monitoring (CM). This indispensable resource:Addresses nearest-neighbor-based, clustering-based, statistical, and information theory-based techniquesConsiders the merits of e
| Author | : Diego Galar Pascual |
| Publisher | : CRC Press |
| Total Pages | : 475 |
| Release | : 2015-04-22 |
| Genre | : Computers |
| ISBN | : 1498760198 |
Download Artificial Intelligence Tools Book in PDF, ePub and Kindle
Artificial Intelligence Tools: Decision Support Systems in Condition Monitoring and Diagnosis discusses various white- and black-box approaches to fault diagnosis in condition monitoring (CM). This indispensable resource:Addresses nearest-neighbor-based, clustering-based, statistical, and information theory-based techniquesConsiders the merits of e
| Author | : Alaa Abdulhady Jaber |
| Publisher | : Springer |
| Total Pages | : 302 |
| Release | : 2016-09-08 |
| Genre | : Technology & Engineering |
| ISBN | : 331944932X |
Download Design of an Intelligent Embedded System for Condition Monitoring of an Industrial Robot Book in PDF, ePub and Kindle
This thesis introduces a successfully designed and commissioned intelligent health monitoring system, specifically for use on any industrial robot, which is able to predict the onset of faults in the joints of the geared transmissions. However the developed embedded wireless condition monitoring system leads itself very well for applications on any power transmission equipment in which the loads and speeds are not constant, and access is restricted. As such this provides significant scope for future development. Three significant achievements are presented in this thesis. First, the development of a condition monitoring algorithm based on vibration analysis of an industrial robot for fault detection and diagnosis. The combined use of a statistical control chart with time-domain signal analysis for detecting a fault via an arm-mounted wireless processor system represents the first stage of fault detection. Second, the design and development of a sophisticated embedded microprocessor base station for online implementation of the intelligent condition monitoring algorithm, and third, the implementation of a discrete wavelet transform, using an artificial neural network, with statistical feature extraction for robot fault diagnosis in which the vibration signals are first decomposed into eight levels of wavelet coefficients.
| Author | : Tshilidzi Marwala |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 247 |
| Release | : 2012-01-25 |
| Genre | : Technology & Engineering |
| ISBN | : 1447123808 |
Download Condition Monitoring Using Computational Intelligence Methods Book in PDF, ePub and Kindle
Condition Monitoring Using Computational Intelligence Methods promotes the various approaches gathered under the umbrella of computational intelligence to show how condition monitoring can be used to avoid equipment failures and lengthen its useful life, minimize downtime and reduce maintenance costs. The text introduces various signal-processing and pre-processing techniques, wavelets and principal component analysis, for example, together with their uses in condition monitoring and details the development of effective feature extraction techniques classified into frequency-, time-frequency- and time-domain analysis. Data generated by these techniques can then be used for condition classification employing tools such as: • fuzzy systems; rough and neuro-rough sets; neural and Bayesian networks;hidden Markov and Gaussian mixture models; and support vector machines.
| Author | : Rolf Isermann |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 358 |
| Release | : 2011-04-06 |
| Genre | : Technology & Engineering |
| ISBN | : 3642127673 |
Download Fault-Diagnosis Applications Book in PDF, ePub and Kindle
Supervision, condition-monitoring, fault detection, fault diagnosis and fault management play an increasing role for technical processes and vehicles in order to improve reliability, availability, maintenance and lifetime. For safety-related processes fault-tolerant systems with redundancy are required in order to reach comprehensive system integrity. This book is a sequel of the book “Fault-Diagnosis Systems” published in 2006, where the basic methods were described. After a short introduction into fault-detection and fault-diagnosis methods the book shows how these methods can be applied for a selection of 20 real technical components and processes as examples, such as: Electrical drives (DC, AC) Electrical actuators Fluidic actuators (hydraulic, pneumatic) Centrifugal and reciprocating pumps Pipelines (leak detection) Industrial robots Machine tools (main and feed drive, drilling, milling, grinding) Heat exchangers Also realized fault-tolerant systems for electrical drives, actuators and sensors are presented. The book describes why and how the various signal-model-based and process-model-based methods were applied and which experimental results could be achieved. In several cases a combination of different methods was most successful. The book is dedicated to graduate students of electrical, mechanical, chemical engineering and computer science and for engineers.
| Author | : Hasmat Malik |
| Publisher | : Springer Nature |
| Total Pages | : 499 |
| Release | : 2020-01-17 |
| Genre | : Technology & Engineering |
| ISBN | : 9811515328 |
Download Soft Computing in Condition Monitoring and Diagnostics of Electrical and Mechanical Systems Book in PDF, ePub and Kindle
This book addresses a range of complex issues associated with condition monitoring (CM), fault diagnosis and detection (FDD) in smart buildings, wide area monitoring (WAM), wind energy conversion systems (WECSs), photovoltaic (PV) systems, structures, electrical systems, mechanical systems, smart grids, etc. The book’s goal is to develop and combine all advanced nonintrusive CMFD approaches on a common platform. To do so, it explores the main components of various systems used for CMFD purposes. The content is divided into three main parts, the first of which provides a brief introduction, before focusing on the state of the art and major research gaps in the area of CMFD. The second part covers the step-by-step implementation of novel soft computing applications in CMFD for electrical and mechanical systems. In the third and final part, the simulation codes for each chapter are included in an extensive appendix to support newcomers to the field.
| Author | : Bing Lei |
| Publisher | : |
| Total Pages | : 163 |
| Release | : 1999 |
| Genre | : Centrifugal pumps |
| ISBN | : 9788247104767 |
Download Intelligent Condition Monitoring and Diagnosis System for a Centrifugal Pump Book in PDF, ePub and Kindle
| Author | : Hasmat Malik |
| Publisher | : Academic Press |
| Total Pages | : 272 |
| Release | : 2021-02-24 |
| Genre | : Technology & Engineering |
| ISBN | : 0323855113 |
Download Intelligent Data-Analytics for Condition Monitoring Book in PDF, ePub and Kindle
Intelligent Data-Analytics for Condition Monitoring: Smart Grid Applications looks at intelligent and meaningful uses of data required for an optimized, efficient engineering processes. In addition, the book provides application perspectives of various deep learning models for the condition monitoring of electrical equipment. With chapters discussing the fundamentals of machine learning and data analytics, the book is divided into two parts, including i) The application of intelligent data analytics in Solar PV fault diagnostics, transformer health monitoring and faults diagnostics, and induction motor faults and ii) Forecasting issues using data analytics which looks at global solar radiation forecasting, wind data forecasting, and more. This reference is useful for all engineers and researchers who need preliminary knowledge on data analytics fundamentals and the working methodologies and architecture of smart grid systems. Features deep learning methodologies in smart grid deployment and maintenance applications Includes coding for intelligent data analytics for each application Covers advanced problems and solutions of smart grids using advance data analytic techniques
