Intelligent Condition Monitoring And Diagnosis Systems PDF Download
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| 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 | : 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 | : 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 | : Alaa Abdulhady Jaber |
| Publisher | : Springer |
| Total Pages | : 279 |
| 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 | : 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 | : George Vachtsevanos |
| Publisher | : Wiley |
| Total Pages | : 0 |
| Release | : 2006-09-29 |
| Genre | : Technology & Engineering |
| ISBN | : 9780471729990 |
Download Intelligent Fault Diagnosis and Prognosis for Engineering Systems Book in PDF, ePub and Kindle
Expert guidance on theory and practice in condition-based intelligent machine fault diagnosis and failure prognosis Intelligent Fault Diagnosis and Prognosis for Engineering Systems gives a complete presentation of basic essentials of fault diagnosis and failure prognosis, and takes a look at the cutting-edge discipline of intelligent fault diagnosis and failure prognosis technologies for condition-based maintenance. It thoroughly details the interdisciplinary methods required to understand the physics of failure mechanisms in materials, structures, and rotating equipment, and also presents strategies to detect faults or incipient failures and predict the remaining useful life of failing components. Case studies are used throughout the book to illustrate enabling technologies. Intelligent Fault Diagnosis and Prognosis for Engineering Systems offers material in a holistic and integrated approach that addresses the various interdisciplinary components of the field--from electrical, mechanical, industrial, and computer engineering to business management. This invaluably helpful book: * Includes state-of-the-art algorithms, methodologies, and contributions from leading experts, including cost-benefit analysis tools and performance assessment techniques * Covers theory and practice in a way that is rooted in industry research and experience * Presents the only systematic, holistic approach to a strongly interdisciplinary topic
| 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 | : 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 | : Marco Antonio Aceves-Fernandez |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 466 |
| Release | : 2018-06-27 |
| Genre | : Computers |
| ISBN | : 178923364X |
Download Artificial Intelligence Book in PDF, ePub and Kindle
Artificial intelligence (AI) is taking an increasingly important role in our society. From cars, smartphones, airplanes, consumer applications, and even medical equipment, the impact of AI is changing the world around us. The ability of machines to demonstrate advanced cognitive skills in taking decisions, learn and perceive the environment, predict certain behavior, and process written or spoken languages, among other skills, makes this discipline of paramount importance in today's world. Although AI is changing the world for the better in many applications, it also comes with its challenges. This book encompasses many applications as well as new techniques, challenges, and opportunities in this fascinating area.
