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Fault-Diagnosis Applications: Model-Based Condition Monitoring: Actuators, Drive

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Last updated on 22 Sep, 2024 07:50:11 BSTView all revisionsView all revisions

Item specifics

Condition
New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
ISBN-13
9783642434761
Book Title
Fault-Diagnosis Applications
ISBN
9783642434761
Subject Area
Mathematics, Technology & Engineering, Science
Publication Name
Fault-Diagnosis Applications : Model-Based Condition Monitoring: Actuators, Drives, Machinery, Plants, Sensors, and Fault-Tolerant Systems
Publisher
Springer Berlin / Heidelberg
Item Length
9.3 in
Subject
Probability & Statistics / General, Electrical, Physics / General
Publication Year
2014
Type
Textbook
Format
Trade Paperback
Language
English
Author
Rolf Isermann
Item Weight
20.1 Oz
Item Width
6.1 in
Number of Pages
Xvi, 354 Pages

About this product

Product Identifiers

Publisher
Springer Berlin / Heidelberg
ISBN-10
3642434762
ISBN-13
9783642434761
eBay Product ID (ePID)
239813442

Product Key Features

Number of Pages
Xvi, 354 Pages
Publication Name
Fault-Diagnosis Applications : Model-Based Condition Monitoring: Actuators, Drives, Machinery, Plants, Sensors, and Fault-Tolerant Systems
Language
English
Subject
Probability & Statistics / General, Electrical, Physics / General
Publication Year
2014
Type
Textbook
Subject Area
Mathematics, Technology & Engineering, Science
Author
Rolf Isermann
Format
Trade Paperback

Dimensions

Item Weight
20.1 Oz
Item Length
9.3 in
Item Width
6.1 in

Additional Product Features

Intended Audience
Scholarly & Professional
Number of Volumes
1 vol.
Illustrated
Yes
Table Of Content
1 Introduction.- Part I Supervision, Fault Detection and Diagnosis 2 Supervision, fault-detection and diagnosis methods - a short introduction.- Part II Drives and Actuators 3 Fault diagnosis of electrical drives.- 4 Fault diagnosis of electrical actuators.- 5 Fault diagnosis of fluidic actuators Part III Machines and Plants 7 Leak detection of pipelines.- 8 Fault diagnosis of industrial robots.- 9 Fault Diagnosis of machine tools.- 10 Fault detection of heat exchangers Part IV Fault-tolerant Systems 11 Fault-tolerant systems - a short introduction.- 12 Examples of fault-tolerant systems Part V Appendix 13 Appendix.- References.- Index.
Synopsis
1. Introduction 1.1 Process automation and supervision 1.2 Product life cycle and fault management (asset management) 1.3 Contents I SUPERVISION, FAULT DETECTION AND DIAGNOSIS 2. Supervision, fault detection and fault diagnosis methods 2.1 Basic tasks of supervision 2.2 Terminology 2.2.1 Faults, failures, malfunctions 2.2.2 Reliability, availability, safety 2.2.3 Fault tolerance and redundancy 2.3 Knowledge based fault detection and diagnosis 2.4 Signal based fault detection methods 2.4.1 Limit checking 2.4.2 Trend checking 2.4.3 Change detection 2.4.4 Adaptive thresholds 2.4.5 Plausibility checks 2.4.6 Signal analysis methods 2.5 Processmodel based fault detection methods 2.5.1 Process models and fault modeling 2.5.2 Fault detection with parameter estimation 2.5.3 Fault detection with state observers and state estimation 2.5.4 Fault detection with parity equations 2.5.5 Direct reconstruction of not measurable variables 2.6 Fault diagnosis methods 2.6.1 Classification methods 2.6.2 Inference methods 2.7 Fault detection in closed loops 2.8 Data flow structure for supervision II DRIVES AND ACTUATORS 3. Fault diagnosis of electrical drives 3.1 Direct current motor (DC) 3.1.1 Structure and models of the DC motor 3.1.2 Fault detection with parity equations 3.1.3 Fault detection with parameter estimation 3.1.4 Experimental results for fault detection 3.1.5 Experimental results for fault diagnosis with SELECT 3.1.6 Conclusions 3.2 Alternating current motor (AC) 3.2.1 Structure and models of induction motors 3.2.2 Signal based fault detection of power electronics 3.2.3 Model based fault detection of an AC motor 3.2.4 Concusions 4. Fault diagnosis of electrical actuators 4.1 Electromagnetic actuator 4.1.1 Position control 4.1.2 Fault detection with parameter estimation 4.2 Electromagnetic automotive throttle valve actuator 4.2.1 Structure and models of the actuator 4.2.2 Input test cycle for quality control 4.2.3 Fault detection with parameter estimation 4.2.4 Fault detection with parity equations 4.2.5 Fault diagnosis 4.2.6 Fault diagnosis equipment 4.2.7 Conclusions 4.3 Brushless DC motor actuator and aircraft cabin pressure valve 4.3.1 Structure and models 4.3.2 Fault detection with parameter estimation 4.3.3 Fault detection with parity equations 4.3.4 Conclusions 5. Fault diagnosis of fluidic actuators 5.1 Hydraulic servo axis 5.1.1 Hydraulic servo axis structure 5.1.2 Faults of hydraulic servo axes 5.1.3 Models of the spool valve and cylinder 5.1.4 Fault detection and diagnosis of the valve and cylinder 5.1.5 Fault diagnosis 5.1.6 Conclusions 5.2 Pneumatic actuators 5.2.1 Pneumatic flow valve structure and modeling 5.2.2 Fault detection and diagnosis with local linear models 5.2.3 Experimental results 5.2.4 Conclusions III MACHINES AND PLANTS 6. Fault diagnosis of pumps 6.1 Centrifugal pumps 6.1.1 Status of pump supervision and fault detection 6.1.2 Models of a centrifugal pump and pipe system 6.1.3 Fault detection with parameter estimation 6.1.4 Fault detection with nonlinear parity equations and parameter estimation 6.1.5 Conclusions 6.2 Reciprocating pumps 6.2.1 Structure of a diaphragm pump 6.2.2 Models of a diaphragm pump 6.2.3 Fault detection and diagnosis of the hydraulic part 6.2.4 Fault detection of the pump drive, Supervision, condition-monitoring, fault detection, fault diagnosis and fault management play an increasing role for technical processes and vehicles in order to improve reliability, availability, maintenance and lifetime. For safety-related processes fault-tolerant systems with redundancy are required in order to reach comprehensive system integrity. This book is a sequel of the book "Fault-Diagnosis Systems" published in 2006, where the basic methods were described. After a short introduction into fault-detection and fault-diagnosis methods the book shows how these methods can be applied for a selection of 20 real technical components and processes as examples, such as: Electrical drives (DC, AC) Electrical actuators Fluidic actuators (hydraulic, pneumatic) Centrifugal and reciprocating pumps Pipelines (leak detection) Industrial robots Machine tools (main and feed drive, drilling, milling, grinding) Heat exchangers Also realized fault-tolerant systems for electrical drives, actuators and sensors are presented. The book describes why and how the various signal-model-based and process-model-based methods were applied and which experimental results could be achieved. In several cases a combination of different methods was most successful. The book is dedicated to graduate students of electrical, mechanical, chemical engineering and computer science and for engineers.
LC Classification Number
TJ212-225

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