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Multivariate statistical signal processing technique for fault detection and diagnostics

  • Published:1990-11 Issue:4 Volume:29 Page:79-95
  • ISSN:0019-0578
  • Container-title:ISA Transactions
  • language:en
  • Short-container-title:ISA Transactions

Author:

Upadhyaya B.R.,Glockler O.,Eklund J.

Publisher

Elsevier BV

Subject

Applied Mathematics,Control and Systems Engineering,Electrical and Electronic Engineering,Computer Science Applications,Instrumentation

Reference8 articles.

1. Modern Spectrum Analysis II;Kesler,1986

2. Digital Signal Analysis with Applications;Marple,1987

3. Multivariate Signal Analysis Algorithms for Process Monitoring and Parameter Estimation in Nuclear Reactors;Upadhyaya;Annals of Nuclear Energy,1980

4. Results of Interpretation of Multivariate Autoregressive Analysis Applied to the LOFT Reactor Process Noise Data;Glockler;Progress in Nuclear Energy,1988

5. Coherence Analysis of Systems with Feedback and Its Application to a BWR Noise Investigation;Oguma;Progress in Nuclear Energy,1982

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1. Anomaly detection in streaming environmental sensor data: A data-driven modeling approach;Environmental Modelling & Software;2010-09

2. An Unsupervised Diagnosis for Process Tool Fault Detection: The Flexible Golden Pattern;IEEE Transactions on Semiconductor Manufacturing;2007-11

3. General Considerations;Instrument Engineers' Handbook, Fourth Edition, Volume One;2003-06-27

4. Component Diagnosis and Life Span Estimation for Optimal Replacement;Energy Engineering;2001-07

5. Sensor science – essentials for instrumentation and measurement technology;Measurement;1999-03
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