Download or read book Model based Fault Detection and Diagnosis of an Air Handling Unit Using a Fuzzy Rule Classifier written by Moosung Kim and published by . This book was released on 2005 with total page 90 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Handbook On Computational Intelligence In 2 Volumes written by Plamen Parvanov Angelov and published by World Scientific. This book was released on 2016-03-18 with total page 964 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the Internet, the proliferation of Big Data, and autonomous systems, mankind has entered into an era of 'digital obesity'. In this century, computational intelligence, such as thinking machines, have been brought forth to process complex human problems in a wide scope of areas — from social sciences, economics and biology, medicine and social networks, to cyber security.The Handbook of Computational Intelligence (in two volumes) prompts readers to look at these problems from a non-traditional angle. It takes a step by step approach, supported by case studies, to explore the issues that have arisen in the process. The Handbook covers many classic paradigms, as well as recent achievements and future promising developments to solve some of these very complex problems. Volume one explores the subjects of fuzzy logic and systems, artificial neural networks, and learning systems. Volume two delves into evolutionary computation, hybrid systems, as well as the applications of computational intelligence in decision making, the process industry, robotics, and autonomous systems.This work is a 'one-stop-shop' for beginners, as well as an inspirational source for more advanced researchers. It is a useful resource for lecturers and learners alike.
Download or read book Fault Detection and Diagnostics Modeling for Air handling Units on the Main Campus of The University of Texas at Austin written by Megan Kellie McHugh and published by . This book was released on 2018 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: Heating, ventilation, and air conditioning accounts for about 44% of energy usage in commercial buildings. In HVAC systems, air handling units are used to condition air based on comfort for occupants or controlled environmental requirements. Faults in AHUs can occur due to failures in equipment, actuators, or sensors and feedback controllers. Leakage typically occurs due to faults in ducts, faults with valves that are stuck, broken, or in the incorrect operating position, faults in measurements of state variables, or faults with the controllers maintaining the setpoint from sensor feedback. The variety faults that can occur in AHUs can lead to increased energy consumption, especially when it remains undetected. AHU faults can also lead to uncomfortable conditions for building occupants or impact research and other special facilities as the campus building types include classroom/academic, hospital/clinic, housing, office/administrative, parking/garage, public assembly/multipurpose, and research laboratories. The building automation systems on the main campus of The University of Texas at Austin manage over 100 buildings each with multiple AHUs in different working conditions. In this paper, a methodology is proposed for the fault detection of AHU steam and chilled water valve leakage and for general fault detection and diagnoses of other common AHU faults on the UT campus. The approach is based on supervised machine learning classification models and compared to the ASHRAE fundamentals expert rule-set models. BAS data trended at 15-minute intervals for periods up to 400 days were used. Faults detected through these methods have been validated by UT Facilities Services upon inspection of the faulty AHUs. A dashboard web application was developed for the interactive use and visualization of the fault detection models by UTFS for continuous maintenance prioritization. A classification analysis allows for the prediction of leakage and provides UTFS a priority ranking of AHUs to address for maintenance in the future. The rule-set models provide a method for continuous tracking of AHU features for faults. Identifying and addressing valve leakage and other faults is expected to reduce energy usage and contribute to reduction in average annual energy use intensity in order to improve demand side energy efficiency while maintaining indoor environmental quality. This will contribute to reach the 2020 energy savings targets set in the 2012 UT Austin Campus Master Plan, which outlines a variety of initiatives for sustainable growth through 2030
Download or read book Fault Diagnosis written by Józef Korbicz and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 936 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive work presents the status and likely development of fault diagnosis, an emerging discipline of modern control engineering. It covers fundamentals of model-based fault diagnosis in a wide context, providing a good introduction to the theoretical foundation and many basic approaches of fault detection.
Download or read book Robust Model Based Fault Diagnosis for Dynamic Systems written by Jie Chen and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is an increasing demand for dynamic systems to become more safe and reliable. This requirement extends beyond the normally accepted safety-critical systems of nuclear reactors and aircraft where safety is paramount important, to systems such as autonomous vehicles and fast railways where the system availability is vital. It is clear that fault diagnosis (including fault detection and isolation, FDI) has been becoming an important subject in modern control theory and practice. For example, the number of papers on FDI presented in many control-related conferences has been increasing steadily. The subject of fault detection and isolation continues to mature to an established field of research in control engineering. A large amount of knowledge on model-based fault diagnosis has been ac cumulated through the literature since the beginning of the 1970s. However, publications are scattered over many papers and a few edited books. Up to the end of 1997, there is no any book which presents the subject in an unified framework. The consequence of this is the lack of "common language", dif ferent researchers use different terminology. This problem has obstructed the progress of model-based FDI techniques and has been causing great concern in research community. Many survey papers have been published to tackle this problem. However, a book which presents the materials in a unified format and provides a comprehensive foundation of model-based FDI is urgently needed.
Download or read book Fault Detection and Diagnosis of Air Handling Unit in HVAC System Using Cloud based Data Logging System written by David Lee and published by . This book was released on 2019 with total page 77 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Model based Fault Diagnosis Techniques written by Steven X. Ding and published by Springer Science & Business Media. This book was released on 2008-02-23 with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt: The objective of this book is to introduce basic model-based FDI schemes, advanced analysis and design algorithms, and the needed mathematical and control theory tools at a level for graduate students and researchers as well as for engineers. This is a textbook with extensive examples and references. Most methods are given in the form of an algorithm that enables a direct implementation in a programme. Comparisons among different methods are included when possible.
Download or read book A Model based Fault Detection and Diagnosis Methodology for HVAC Subsystems written by Ian Blair Dwight McIntosh and published by . This book was released on 2000 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Fuzzy Models and Algorithms for Pattern Recognition and Image Processing written by James C. Bezdek and published by Springer Science & Business Media. This book was released on 2006-09-28 with total page 786 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy Models and Algorithms for Pattern Recognition and Image Processing presents a comprehensive introduction of the use of fuzzy models in pattern recognition and selected topics in image processing and computer vision. Unique to this volume in the Kluwer Handbooks of Fuzzy Sets Series is the fact that this book was written in its entirety by its four authors. A single notation, presentation style, and purpose are used throughout. The result is an extensive unified treatment of many fuzzy models for pattern recognition. The main topics are clustering and classifier design, with extensive material on feature analysis relational clustering, image processing and computer vision. Also included are numerous figures, images and numerical examples that illustrate the use of various models involving applications in medicine, character and word recognition, remote sensing, military image analysis, and industrial engineering.
Download or read book Predictive Maintenance in Dynamic Systems written by Edwin Lughofer and published by Springer. This book was released on 2019-02-28 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a complete picture of several decision support tools for predictive maintenance. These include embedding early anomaly/fault detection, diagnosis and reasoning, remaining useful life prediction (fault prognostics), quality prediction and self-reaction, as well as optimization, control and self-healing techniques. It shows recent applications of these techniques within various types of industrial (production/utilities/equipment/plants/smart devices, etc.) systems addressing several challenges in Industry 4.0 and different tasks dealing with Big Data Streams, Internet of Things, specific infrastructures and tools, high system dynamics and non-stationary environments . Applications discussed include production and manufacturing systems, renewable energy production and management, maritime systems, power plants and turbines, conditioning systems, compressor valves, induction motors, flight simulators, railway infrastructures, mobile robots, cyber security and Internet of Things. The contributors go beyond state of the art by placing a specific focus on dynamic systems, where it is of utmost importance to update system and maintenance models on the fly to maintain their predictive power.
Download or read book Classification Techniques for Fault Detection and Diagnosis of an Air Handling Unit written by J. M. House and published by . This book was released on 1999 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Fault Detection Supervision and Safety of Technical Processes 2003 SAFEPROCESS 2003 written by Marcel Staroswiecki and published by Elsevier. This book was released on 2004-02-27 with total page 1210 pages. Available in PDF, EPUB and Kindle. Book excerpt: A three-volume work bringing together papers presented at 'SAFEPROCESS 2003', including four plenary papers on statistical, physical-model-based and logical-model-based approaches to fault detection and diagnosis, as well as 178 regular papers.
Download or read book Monitoring and Control of Information Poor Systems written by Arthur L. Dexter and published by John Wiley & Sons. This book was released on 2012-04-09 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: The monitoring and control of a system whose behaviour is highly uncertain is an important and challenging practical problem. Methods of solution based on fuzzy techniques have generated considerable interest, but very little of the existing literature considers explicit ways of taking uncertainties into account. This book describes an approach to the monitoring and control of information-poor systems that is based on fuzzy relational models which generate fuzzy outputs. The first part of Monitoring and Control of Information-Poor Systems aims to clarify why design decisions must take account of the uncertainty associated with optimal choices, and to explain how a fuzzy relational model can be used to generate a fuzzy output, which reflects the uncertainties associated with its predictions. Part two gives a brief introduction to fuzzy decision-making and shows how it can be used to design a predictive control scheme that is suitable for controlling information-poor systems using inaccurate measurements. Part three describes different ways in which fuzzy relational models can be generated online and explains the practical issues associated with their identification and application. The final part of the book provides examples of the use of the previously described techniques in real applications. Key features: Describes techniques applicable to a wide range of engineering, environmental, medical, financial and economic applications Uses simple examples to help explain the basic techniques for dealing with uncertainty Describes a novel design approach based on the use of fuzzy relational models Considers practical issues associated with applying the techniques to real systems Monitoring and Control of Information-Poor Systems forms an invaluable resource for a wide range of graduate students, and is also a comprehensive reference for researchers and practitioners working on problems involving mathematical modelling and control.
Download or read book A Model based Fault Detection and Diagnostic Methodology for Secondary HVAC Systems written by Shun Li and published by . This book was released on 2009 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Probabilistic Method to Diagnose Faults of Air Handling Units written by Debashis Dey and published by . This book was released on 2015 with total page 75 pages. Available in PDF, EPUB and Kindle. Book excerpt: Air handling unit (AHU) is one of the most extensively used equipment in large commercial buildings. This device is typically customized and lacks quality system integration which can result in hardwire failures and controller errors. Air handling unit Performance Assessment Rules (APAR) is a fault detection tool that uses a set of expert rules derived from mass and energy balances to detect faults in air handling units. APAR is computationally simple enough that it can be embedded in commercial building automation and control systems and relies only upon sensor data and control signals that are commonly available in these systems. Although APAR has many advantages over other methods, for example no training data required and easy to implement commercially, most of the time it is unable to provide the diagnosis of the faults. For instance, a fault on temperature sensor could be fixed bias, drifting bias, inappropriate location, complete failure. Also a fault in mixing box can be return and outdoor damper leak or stuck. In addition, when multiple rules are satisfied the list of faults increases. There is no proper way to have the correct diagnosis for rule based fault detection system. To overcome this limitation we proposed Bayesian Belief Network (BBN) as a diagnostic tool. BBN can be used to simulate diagnostic thinking of FDD experts through a probabilistic way. In this study we developed a new way to detect and diagnose faults in AHU through combining APAR rules and Bayesian Belief network. Bayesian Belief Network is used as a decision support tool for rule based expert system. BBN is highly capable to prioritize faults when multiple rules are satisfied simultaneously. Also it can get information from previous AHU operating conditions and maintenance records to provide proper diagnosis. The proposed model is validated with real time measured data of a campus building at University of Texas at San Antonio (UTSA).The results show that BBN is correctly able to prioritize faults which can be verified by manual investigation.
Download or read book Handbook of Heating Ventilation and Air Conditioning written by Jan F. Kreider and published by CRC Press. This book was released on 2000-12-26 with total page 666 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past 20 years, energy conservation imperatives, the use of computer based design aids, and major advances in intelligent management systems for buildings have transformed the design and operation of comfort systems for buildings. The "rules of thumb" used by designers in the1970s are no longer viable. Today, building systems engineers must
Download or read book Process Monitoring and Fault Classification for an Air Handling Unit written by Kyung-Jin Jang and published by . This book was released on 1999 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: The experimental data gathered using a factorial experiment design gave good evaluation of the significant variables involved to segregate different faults. The results of this research demonstrated an effective fault detection and diagnostic mechanism for an air-handling unit, leading to improved system performance and decreased energy use and demand.
