Fault detection : methods, applications and technology /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Martin, Daniel (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hauppauge, New York : Nova Science Publishers, Inc., [2017]
Colección:Systems engineering methods, developments and technology
Temas:
Fault location (Engineering) > Mathematical models.
Faults (Geology)
Détection de défaut (Ingénierie) > Modèles mathématiques.
Failles (Géologie)
faults.
SCIENCE > Earth Sciences > Geography.
SCIENCE > Earth Sciences > Geology.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • FAULT DETECTION METHODS, APPLICATIONS AND TECHNOLOGY ; FAULT DETECTION METHODS, APPLICATIONS AND TECHNOLOGY ; CONTENTS ; PREFACE; Chapter1ACTIVEFAULTDETECTIONINNONLINEARDIFFERENTIALALGEBRAICEQUATIONSI:GENERALSYSTEMS; Abstract; 1. Introduction; 2. ReviewofLinearDAEApproach; 3. GeneralNonlinearApproach; 4. HessenbergSystems; 5. CaseStudy; 5.1. SolvingtheNonlinearProblem; Conclusion; Acknowledgment; References; Chapter2ACTIVEFAULTDETECTIONINNONLINEARDIFFERENTIALALGEBRAICEQUATIONSII:USINGLINEARIZATIONS; Abstract; 1. Introduction; 2. ReviewofLinearDAEApproach; 3. CaseStudy; 3.1. Linearization
  • 4. EvaluationoftheTestSignal5. ModelIdentificationwithNonlinearModels; Conclusion; Acknowledgment; References; Chapter 3 SEISMIC ATTRIBUTE-AIDED FAULT DETECTION IN PETROLEUM INDUSTRY: A REVIEW ; Abstract; Introduction; Attribute Extraction; Data Preconditioning; Median Filter; Edge-Preserving Smoothing; Discontinuity Analysis; Coherence; Sobel Filtering; Semblance; Similarity; Canny Edge Detection; Fault Enhancement; Ant Tracking; Lineament Thinning; Fault Mapping; Manual Fault Picking; Semi-Automatic Fault Extraction; Automatic Fault Extraction; Fault Map Quality Control; Future Work
  • ConclusionAcknowledgments; References; Biographical Sketches; Haibin Di; Research and Professional Experience; Publications Last Three Years; Journal Publications (9); Conference Presentations (8); Dengliang Gao; Research and Professional Experience; Publications Last Three Years:; Chapter 4 SELF-ADAPTIVE EXPERT SYSTEM FOR PROCESS MONITORING AND FAULT DETECTION ; Abstract; 1. Introduction; 2. Informational Potential; 3. Potential Based Recursive Clustering Algorithm; Listing 1. Pseudo-Code of the Proposed Potention Based Recursive Clustering Procedure (PBRC)
  • 4. Specialization of the PBRC Algorithm for FDI5. System Testing and Results; Data Collecting; Signal Processing and Extraction of Characteristic Features; Fuzzy Logic of Middle Layer; Fuzzy Logic of Output Layer; Conclusion; References; Biographical Sketch; Milena Petkovic, PhD; Chapter 5 AN INTEGRATED FDD SYSTEM FOR HVAC & R BASED ON VIRTUAL SENSORS ; Abstract; Introduction; Review of Virtual Sensors; Benefits of Virtual Sensors; General Steps for Developing Virtual Sensors; Overview of Virtual Sensor Developments in Other Fields; Virtual Sensing in Automobiles
  • Virtual Sensing in Control SystemsDevelopment of FDD System Based on Virtual Sensor for HVAC Sensor Level Virtual Sensor; Component Level Virtual Sensor; Virtual Refrigerant Mass Flow Sensor; Virtual Air Flow Rate Sensor; System Level Virtual Sensor; Virtual Refrigerant Charge Sensor; Virtual Performance Sensor; Integration of Virutal Sensors; Fault Impact Model; Validation of FDD System Based on Virutal Sensor for HVAC System Description and Test Conditions; Virtual Sensor Peformance Evaluation; Validation of Virtual Refrigerant Charge Sensor

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