Intelligent Data Analytics For Condition Monitoring PDF Download
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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
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 | : 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 | : Hasmat Malik |
Publisher | : Springer Nature |
Total Pages | : 649 |
Release | : 2022-02-17 |
Genre | : Technology & Engineering |
ISBN | : 9811660816 |
Download Intelligent Data Analytics for Power and Energy Systems Book in PDF, ePub and Kindle
This book brings together state-of-the-art advances in intelligent data analytics as driver of the future evolution of PaE systems. In the modern power and energy (PaE) domain, the increasing penetration of renewable energy sources (RES) and the consequent empowerment of consumers as a central and active solution to deal with the generation and development variability are driving the PaE system towards a historic paradigm shift. The small-scale, diversity, and especially the number of new players involved in the PaE system potentiate a significant growth of generated data. Moreover, advances in communication (between IoT devices and M2M: machine to machine, man to machine, etc.) and digitalization hugely increased the volume of data that results from PaE components, installations, and systems operation. This data is becoming more and more important for PaE systems operation, maintenance, planning, and scheduling with relevant impact on all involved entities, from producers, consumer,s and aggregators to market and system operators. However, although the PaE community is fully aware of the intrinsic value of those data, the methods to deal with it still necessitate substantial enhancements, development and research. Intelligent data analytics is thereby playing a fundamental role in this domain, by enabling stakeholders to expand their decision-making method and achieve the awareness on the PaE environment. The editors also included demonstrated codes for presented problems for better understanding for beginners.
Author | : Michael R. Berthold |
Publisher | : Springer |
Total Pages | : 515 |
Release | : 2007-06-07 |
Genre | : Computers |
ISBN | : 3540486259 |
Download Intelligent Data Analysis Book in PDF, ePub and Kindle
This second and revised edition contains a detailed introduction to the key classes of intelligent data analysis methods. The twelve coherently written chapters by leading experts provide complete coverage of the core issues. The first half of the book is devoted to the discussion of classical statistical issues. The following chapters concentrate on machine learning and artificial intelligence, rule induction methods, neural networks, fuzzy logic, and stochastic search methods. The book concludes with a chapter on visualization and an advanced overview of IDA processes.
Author | : Hasmat Malik |
Publisher | : Springer Nature |
Total Pages | : 513 |
Release | : 2021-02-14 |
Genre | : Technology & Engineering |
ISBN | : 9813344121 |
Download AI and Machine Learning Paradigms for Health Monitoring System Book in PDF, ePub and Kindle
This book embodies principles and applications of advanced soft computing approaches in engineering, healthcare and allied domains directed toward the researchers aspiring to learn and apply intelligent data analytics techniques. The first part covers AI, machine learning and data analytics tools and techniques and their applications to the class of several hospital and health real-life problems. In the later part, the applications of AI, ML and data analytics shall be covered over the wide variety of applications in hospital, health, engineering and/or applied sciences such as the clinical services, medical image analysis, management support, quality analysis, bioinformatics, device analysis and operations. The book presents knowledge of experts in the form of chapters with the objective to introduce the theme of intelligent data analytics and discusses associated theoretical applications. At last, it presents simulation codes for the problems included in the book for better understanding for beginners.
Author | : Hasmat Malik |
Publisher | : Academic Press |
Total Pages | : 0 |
Release | : 2023-11-01 |
Genre | : Technology & Engineering |
ISBN | : 9780323917797 |
Download Intelligent Data Analytics for Power Apparatus Health Monitoring Book in PDF, ePub and Kindle
Intelligent Data Analytics for Power Apparatus Health Monitoring: AI and Machine Learning Paradigms reviews key implementations of machine learning and data analytics techniques for the optimization of digital power transformers. The work addresses health monitoring fully across the constitutive structure of modern transformers, with coverage of DGA-based intelligent data analytics, transformer winding, bushing and arrestor health monitoring, core, conservator, and tank and cooling systems. Chapters address advanced AI/ML methods including deep convolutional neural network, fuzzy reinforcement learning, modified fuzzy Q learning, gene expression programming, extreme-learning machine, and much more. Primarily intended for researchers and practitioners, the book speeds and simplifies the diagnosis and resolution of health and condition monitoring queries using advanced techniques, particularly with the goal of improved performance, reduced cost, optimized customer behavior and satisfaction, and ultimately increased profitability.
Author | : Alexandre Cury |
Publisher | : Springer Nature |
Total Pages | : 490 |
Release | : 2021-10-23 |
Genre | : Computers |
ISBN | : 3030817164 |
Download Structural Health Monitoring Based on Data Science Techniques Book in PDF, ePub and Kindle
The modern structural health monitoring (SHM) paradigm of transforming in situ, real-time data acquisition into actionable decisions regarding structural performance, health state, maintenance, or life cycle assessment has been accelerated by the rapid growth of “big data” availability and advanced data science. Such data availability coupled with a wide variety of machine learning and data analytics techniques have led to rapid advancement of how SHM is executed, enabling increased transformation from research to practice. This book intends to present a representative collection of such data science advancements used for SHM applications, providing an important contribution for civil engineers, researchers, and practitioners around the world.
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.