Faults detection

Xem 1-19 trên 19 kết quả Faults detection
  • Fault diagnosis technology is a synthetic technology, which relates to several subjects, such as modern control theory, reliability theory, mathematical statistics, fussy set theory, information handling, pattern recognition and artificial intelligence. The United States is the first study to carry out fault diagnosis countries.

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  • This paper reviews the use of diagnostics in buildings, both in commissioning and in operations and maintenance. The difference between fault detection and fault diagnosis is defined. The kinds of fault that can arise at different stages of the building life cycle are described and the ways that these different kinds of fault can be detected are discussed. Other issues addressed include manual and automatic methods and whole building vs. component-level approaches.

    pdf0p linhson1993 22-09-2012 28 8   Download

  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Fault detection for hydraulic pump based on chaotic parallel RBF network

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  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Bearing Fault Detection Using Artificial Neural Networks and Genetic Algorithm

    pdf12p sting12 11-03-2012 23 3   Download

  • Software Architectures: Lecture 2 provides about Tactics, Architectural style, Availability tactics, Fault detection, Fault recovery, Fault reintroduction, Modifiability tactics, Prevent ripple effects, Dependency types, Syntax dependency, Semantics dependency.

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  • For many years, most computer architects have pursued one primary goal: performance. Architects have translated the ever-increasing abundance of ever-faster transistors provided by Moore's law into remarkable increases in performance. Recently, however, the bounty provided by Moore's law has been accompanied by several challenges that have arisen as devices have become smaller, including a decrease in dependability due to physical faults. In this book, we focus on the dependability challenge and the fault tolerance solutions that architects are developing to overcome it.

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  • What are anomalies/outliers? The set of data points that are considerably different than the remainder of the data Variants of Anomaly/Outlier Detection Problems Given a database D, find all the data points x  D with anomaly scores greater than some threshold t Given a database D, find all the data points x  D having the top-n largest anomaly scores f(x) Given a database D, containing mostly normal (but unlabeled) data points, and a test point x, compute the anomaly score of x with respect to D Applications: Credit card fraud detection, telecommunication fraud detection, netwo...

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  • Since the idea of the fuzzy set was proposed in 1965, many developments have occurred in this area. Applications have been made in such diverse areas as medicine, engineering, management, behavioral science, just to mention some. The application of the fuzzy sets involves different technologies, such as fuzzy clustering on image processing, classification, identification and fault detection, fuzzy controllers to map expert knowledge into control systems, fuzzy modeling combining expert knowledge, fuzzy optimization to solve design problems....

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  • This book focuses on the very important and diverse field of vibration analysis and control.

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  • Fault detection and diagnosis strategies always exploit some form of redundancy. This is the capability of having two or more ways to determine some characteristic properties (variables, parameters, symptoms) of the process, in order to exploit more information sources for an effective detection and diagnosis action.

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  • Discrete wavelet transform (DWT) algorithms have become standard tools for discrete-time signal and image processing in several areas in research and industry. As DWT provides both frequency and location information of the analyzed signal, it is constantly used to solve and treat more and more advanced problems. The present book: Discrete Wavelet Transforms: Theory and Applications describes the latest progress in DWT analysis in non-stationary signal processing, multi-scale image enhancement as well as in biomedical and industrial applications....

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  • The areas of adaptive filtering and change (fault) detection are quite active fields. both in research and applications . Some central keywords of the book are listed in Table 1.1, and the figures. illustrated in Figure 1.1, give an idea of the relative activity in the different areas . For comparison. the two related and well established areas of adaptive control and system identification are included in the table

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  • Genetic Algorithms K.F. Man, K.S. Tang and S. Kwong Neural Networks for Modelling and Control of Dynamic Systems M. Nørgaard, O. Ravn, L.K. Hansen and N.K. Poulsen Modelling and Control of Robot Manipulators (2nd Edition) L. Sciavicco and B. Siciliano Fault Detection and Diagnosis in Industrial Systems L.H. Chiang, E.L. Russell and R.D. Braatz Soft Computing L. Fortuna, G. Rizzotto, M. Lavorgna, G. Nunnari, M.G. Xibilia and R. Caponetto Statistical Signal Processing T. Chonavel Discrete-time Stochastic Processes (2nd Edition) T. Söderström Parallel...

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  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: IResearch Article Adaptive Parameter Identification Based on Morlet Wavelet and Application in Gearbox Fault Feature Detection

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  • Discrete Wavelet Transform is a wavelet (DWT) transform that is widely used in numerical and functional analysis. Its key advantage over more traditional transforms, such as the Fourier transform, lies in its ability to offer temporal resolution, i.e. it captures both frequency and location (or time) information.

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  • As a reaction to this complexity, we designed a new abstraction that allows us to express the simple computa- tions we were trying to perform but hides the messy de- tails of parallelization, fault-tolerance, data distribution and load balancing in a library. Our abstraction is in- spired by the map and reduce primitives present in Lisp and many other functional languages.

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  • This chapter is devoted to the problem of detecting additive abrupt changes in linear state space models . Sensor and actuator faults as a sudden offset or drift can all be modeled as additive changes . In addition. disturbances are traditionally modeled as additive state changes . The likelihood ratio formulation provides a general framework for detecting such changes. and to isolate the fault/disturbance .

    pdf33p doroxon 12-08-2010 33 5   Download

  • Exhaustive testing (use of all possible inputs and conditions) is impractical must use a subset of all possible test cases. must have high probability of detecting faults. Need thought processes that help to select test cases more intelligently. test case design techniques are such thought processes.Effective testing: find more faults. focus attention on specific types of fault. know you're testing the right thing. Efficient testing: find faults with less effort. avoid duplication systematic techniques are measurable...

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  • Debugging is a very important task in the software development process, because an incorrect program can have significant consequences for its users. Some languages are more prone to some kinds of faults because their specification does not require compilers to perform as much checking as other languages. Use of a static code analysis tool can help detect some possible problems. Debugging is often done with IDEs like Eclipse, Kdevelop, NetBeans, Code::Blocks, and Visual Studio.

    pdf17p ngoctu2392 28-11-2012 8 0   Download


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