Last edited by Goltizshura
Monday, July 20, 2020 | History

3 edition of Expert systems for real-time monitoring and fault diagnosis found in the catalog.

Expert systems for real-time monitoring and fault diagnosis

Expert systems for real-time monitoring and fault diagnosis

  • 297 Want to read
  • 20 Currently reading

Published by National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, For sale by the National Technical Information Service] in Edwards, Calif, [Springfield, Va .
Written in English

    Subjects:
  • Expert systems (Computer science),
  • Fault-tolerant computing.,
  • Computer programming.,
  • Control systems design.,
  • Control theory.,
  • Dynamical systems.,
  • Expert systems.,
  • Fault tolerance.,
  • Interactive control.,
  • Knowledge representation.,
  • Real time operation.

  • Edition Notes

    Other titlesExpert systems for real time monitoring and fault diagnosis.
    StatementS.J. Edwards and A.K. Caglayan.
    SeriesNASA contractor report -- 179441., NASA contractor report -- NASA CR-179441.
    ContributionsCaglayan, A., Dryden Flight Research Facility.
    The Physical Object
    FormatMicroform
    Paginationvi, 109 p.
    Number of Pages109
    ID Numbers
    Open LibraryOL15407145M

    Given their potentially enormous risk, process monitoring and fault diagnosis for chemical plants have recently been the focus of many studies. Based on hazard and operability (HAZOP) analysis, kernel principal component analysis (KPCA), wavelet neural network (WNN), and fault tree analysis (FTA), a hybrid process monitoring and fault diagnosis approach is proposed in this by: 8. Due to the limited generality of traditional fault diagnosis expert system and its low accuracy of extracting failure symptoms, a general fault monitoring and diagnosis expert system has been built. For different devices, users can build fault trees in an interactive way and then the fault trees will be saved as expert knowledge. A variety of sensors are fixed to monitor the real-time Author: Ai Yu Zhang, Xiao Guang Zhao, Lei Zhang.

    @article{osti_, title = {Stochastic Fault Detection}, author = {Wang, Aiping and Wang, Hong}, abstractNote = {This entry describes the state-of-the-art and future perspectives on stochastic fault detection, namely, stochastic fault detection and diagnosis (FDD). Both model-based and data-driven FDD methods for stochastic signals and systems have been included, where the use of. This chapter gathers the most relevant embedded techniques for real-time condition monitoring (CM) and fault diagnosis in power drives based systems that have been reported recent years, with special emphasis on those methods using electric variables (i.e., voltage and current) as health indicators of the involved devices.

    Such systems include the equipment, sensors, and controllers of building mechanical heating, ventilation, and air-conditioning systems. The resulting automated fault detection and diagnosis (AFDD) software will autonomously acquire and in real time analyze data from control hardware and instrumentation products typically already in large. Failure and Malfunction Diagnosis Assistance System (CFMDAS). The aim of the proposed CFMDAS is to provide quick and precise expert guidance to car fault diagnosis. Additionally, for training purposes, it helps in reducing the knowledge gap between different individuals in car fault diagnosis. The specific objectives of the research are as follows.


Share this book
You might also like
Some hints on the use of the sliding microtome

Some hints on the use of the sliding microtome

Measurement of intelligence by drawings

Measurement of intelligence by drawings

forest trees of Colorado

forest trees of Colorado

Modern poetry, 1922-1934

Modern poetry, 1922-1934

Joslyn Art Museum

Joslyn Art Museum

Major Information Technology Companies of the World 2006 (Major Information Technology Companies of the World)

Major Information Technology Companies of the World 2006 (Major Information Technology Companies of the World)

Development of phased twin flip-flop jets

Development of phased twin flip-flop jets

The warlocks companion

The warlocks companion

Grandma, how do you say I love you?

Grandma, how do you say I love you?

The 2000 Import and Export Market for Industrial Refrigerators and Refrigeration Equipment in Philippines

The 2000 Import and Export Market for Industrial Refrigerators and Refrigeration Equipment in Philippines

Resource literature for science teachers

Resource literature for science teachers

Stability Assessment of MHP Test Bed for Ocean Tow

Stability Assessment of MHP Test Bed for Ocean Tow

Late Cretaceous and Cenozoic history of Latin American vegetation and terrestrial environments

Late Cretaceous and Cenozoic history of Latin American vegetation and terrestrial environments

matter of opinion

matter of opinion

Wildlife law symposium

Wildlife law symposium

With the grain

With the grain

Expert systems for real-time monitoring and fault diagnosis Download PDF EPUB FB2

Phase I study erltitled "Expert Systems for Real-Time Monitoring and Fault Diagnosis" supported by NASA Dryden under Contract No. NAS The major aim of this study is the definition, design and prototype demonstration of a kn3wledge compiler concept which retains the desirable attributes of expert.

Get this from a library. Expert systems for real-time monitoring and fault diagnosis. [S J Edwards; A Caglayan; Dryden Flight Research Facility.]. Real-time fault diagnosis using knowledge-based expert system Article in Process Safety and Environmental Protection 86(1) January with Reads How we measure 'reads'.

This paper proposes a knowledge-based fault diagnosis method, which uses the valuable knowledge from the experts and operators, as well as real-time data from a variety of sensors.

Fuzzy logic is also used to make inferences based on the acquired information (real-time data) and the by: Abstract.

This chapter discusses various issues and techniques related to machine and process condition monitoring and fault diagnosis. The use of expert systems and neural networks for condition monitoring and fault diagnosis is : Duc Truong Pham, Ercan Oztemel.

An expert system for fault diagnosis, repairing and maintenance of electrical machines a condition monitoring and fault diagnosis system for induction motors is proposed by integrating. This paper deals with the robust fault diagnosis problem for systems with unstructured uncertainties, for which disturbance de-coupling methods are not applicable.

(Intelligent Process Monitoring) is a Real-Time Expert System that monitors, diagnoses, and generates suggestions in real time about optimization and stability concerning the. Diagnostic Expert Systems: From Expert’s Knowledge to Real-Time Systems C.

Angeli1 Abstract This Chapter presents the evolution of the expert systems paradigm for fault diagnosis in technical systems and processes. Fault diagnosis is becoming one of the largest domains where expert systems are find application from their early Size: KB.

Fault diagnosis is an increasing important research topic and a lot of approaches have been investigating for the intelligent on-line diagnostic task. This work demonstrates the implementation of real-time expert systems technology for diagnostic purposes in hydraulic by: 1.

fault-tolerant actuators, the real-time fault diagnosis and failure management systems must be able to accommodate failures quickly, allowing only small transients. The performance and fault tolerance requirements result in a complex system which requires frequent File Size: 4MB.

Modelling, Monitoring and Diagnostic Techniques for Fluid Power Systems covers the background theory of fluid power and indicates the range of concepts necessary for a modern approach to condition monitoring and fault diagnosis in a readable and understandable fashion.

The theory is constantly leavened by 15 years' worth of practical Cited by: Downloadable. In monitoring and supervision schemes, fault detection and diagnosis characterize high efficiency and quality production systems. To achieve such properties, these structures are based on techniques that allow detection and diagnosis of failures in real time.

Detection signals faults and diagnostics provide the root cause and : Gustavo Pérez Alvarez. Medical Domain Diagnosis Systems to deduce cause of disease from observed data, conduction medical operations on humans.

Monitoring Systems Comparing data continuously with observed system or with prescribed behavior such as leakage monitoring in long petroleum pipeline. Process Control Systems Controlling a physical process based on Size: KB.

Fault-Diagnosis Systems: An Introduction from Fault Detection to Fault Tolerance [Rolf Isermann] on *FREE* shipping on qualifying offers. With increasing demands for efficiency and product quality plus progress in the integration of automatic control systems in high-cost mechatronic and safety-critical processesCited by: Expert Systems.

GUIDON. Designing.n Expert System• for Training Automotive Electrical Troubleshooting. Models of Natural Intelligence in Fault Diagnosis Tisks: Implications for Trainidg and Ailing of Maintonaic Personnel. A Generalized.P Model ot Fault-Isolation Pertorm.-nc, The Psych«'logy of Technical Devices and Technical Disc ursr.

Fault diagnosis that uses AI has been researched by Chan and Christine (), Pierre et al. () and Yang et al. Reports on expert systems (ESs) for fault diagnostics have also been frequently published in the last decade by Liao () and Jian-Zhong & Qing-Feng, ().

For expert diagnosis systems are capable of utilizing human knowl-File Size: KB. AI-based solutions that are explainable, solutions utilizing the Industrial Internet. of Things, cloud computing, cyber physical systems, and machine-to-machine interfaces and paradigms for fault diagnosis and prognosis in the context of Industry Smart real-time data acquisition and signal processing in industrial systems, such as SCADA.

Create a new account. Are you an ASCE Member. We recommend that you register using the same email address you use to maintain your ASCE Member account. Gensym is the global leader in expert systems.

G2 expert systems differentiate themselves from the typical Man Machine Interfaces (MMI’s) by evaluating real or near-real-time data. Using Gensym’s G2 and the real-time data, ProCA notifies the Controller of potential implications or future trends and then.

This page examines rule-based approaches and implementation of diagnostic systems, as part of the white paper A Guide to Fault Detection and Diagnosis. Rule-based systems in most cases implement other approaches discussed earlier, more as a program. his paper reports a practical approach for detecting and diagnose engine faults in real-time based on both the historical and the real-time engine operation data using a specially design neural networks-based fault diagnosis expert system.

This system consisted of multiple sensors for real-time monitoring, an engine database for historic data comparison, and a neural network-bases classifier Cited by: 2.Background. The original inventors of SHINE are Mark L. James and David J. Atkinson. SHINE is a high-speed expert system and inference engine based upon the experience, requirements and technology that were collected over the years by the Artificial Intelligence Research group at NASA/JPL in developing expert systems for the diagnosis of spacecraft health.Established inthe National Operations Centre (NOC) offers 24/7 secure remote support and monitoring services Australia-wide.

Supporting our technicians in the field, the NOC provides you with a clear picture of your operational performance as well as .