• Produktbild: Fault Detection and Diagnosis in Industrial Systems
  • Produktbild: Fault Detection and Diagnosis in Industrial Systems
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Fault Detection and Diagnosis in Industrial Systems

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

11.12.2000

Abbildungen

XIV, 5 illus., schwarz-weiss Illustrationen

Verlag

Springer London

Seitenzahl

279

Maße (L/B/H)

23,5/15,5/1,7 cm

Gewicht

452 g

Auflage

Softcover reprint of the original 1st ed. 2001

Sprache

Englisch

ISBN

978-1-85233-327-0

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

11.12.2000

Abbildungen

XIV, 5 illus., schwarz-weiss Illustrationen

Verlag

Springer London

Seitenzahl

279

Maße (L/B/H)

23,5/15,5/1,7 cm

Gewicht

452 g

Auflage

Softcover reprint of the original 1st ed. 2001

Sprache

Englisch

ISBN

978-1-85233-327-0

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Fault Detection and Diagnosis in Industrial Systems
  • Produktbild: Fault Detection and Diagnosis in Industrial Systems
  • I. Introduction.- 1. Introduction.- Process Monitoring Procedures.- Process Monitoring Measures.- Process Monitoring Methods.- Book Organization.- II. Background.- 2. Multivariate Statistics.- Data Pretreatment.- Univariate Statistical Monitoring.- T2 Statistic.- Thresholds for the T2 Statistic.- Data Requirements.- Homework Problems.- 3. Pattern Classification.- Discriminant Analysis.- Feature Extraction.- Homework Problems.- III. Data-driven Methods.- 4. Principal Component Analysis.- Principal Component Analysis.- Reduction Order.- Fault Detection.- Fault Identification.- Fault Diagnosis.- Dynamic PCA.- Other PCA-based Methods.- Homework Problems.- 5. Fisher Discriminant Analysis.- Fisher Discriminant Analysis.- Reduction Order.- Fault Detection and Diagnosis.- Comparison of PCA and FDA.- Dynamic FDA.- Homework Problems.- 6. Partial Least Squares.- PLS Algorithms.- Reduction Order and PLS Prediction.- Fault Detection, Identification, and Diagnosis.- Comparison of PCA and PLS.- Other PLS Methods.- Homework Problems.- 7. Canonical Variate Analysis.- CVA Theorem.- CVA Algorithm.- State Space Model and System Identifiability.- Lag Order Selection and Computation.- State Order Selection and Akaike’s Information Criterion.- Subspace Algorithm Interpretations.- Process Monitoring Statistics.- Homework Problems.- IV. Application.- 8. Tennessee Eastman Process.- Process Flowsheet.- Process Variables.- Process Faults.- Simulation Program.- Control Structure.- Homework Problems.- 9. Application Description.- Data Sets.- Sampling Interval.- Sample Size.- Lag and Order Selection.- Fault Detection.- Fault Identification.- Fault Diagnosis.- 10. Results and Discussion.- Case Study on Fault.- Case Study on Fault 4.- Case Study on Fault 5.- Case Study on Fault 11.- Fault Detection.- Fault Identification.- Fault Diagnosis.- Homework Problems.- V. Analytical and Knowledge-based Methods.- 11. Analytical Methods.- Fault Descriptions.- Parameter Estimation.- Observer-based Method.- Full-order State Estimator.- Reduced-order Unknown Input Observer.- Parity Relations.- Residual Generation.- Detection Properties of the Residual.- Specification of the Residuals.- Implementation of the Residuals.- Connection Between the Observer and Parity Relations.- Isolation Properties of the Residual.- Residual Evaluation.- Homework Problems.- 12. Knowledge-based Methods.- Causal Analysis.- Signed Directed Graph.- Symptom Tree Model.- Expert Systems.- Shallow-Knowledge Expert System.- Deep-Knowledge Expert Systems.- Combination of Shallow-Knowledge and Deep-Knowledge Expert Systems.- Machine Learning Techniques.- Knowledge Representation.- Inference Engine.- Pattern Recognition.- Artificial Neural Networks.- Self-Organizing Map.- Combinations of Various Techniques.- Neural Networks and Expert Systems.- Fuzzy Logic.- Fuzzy Expert Systems.- Fuzzy Neural Networks.- Fuzzy Signed Directed Graph.- Fuzzy Logic and the Analytical Approach.- Neural Networks and the Analytical Approach.- Data-driven, Analytical, and Knowledge-based Ap- proaches.- Homework Problems.- References.