Fault Detection Methods Applications (11 results)

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New. 2016. UK ed. Hardcover. . . . . .

Condition: New.

Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.

Condition: As New. Unread book in perfect condition.

Condition: New. 2016. UK ed. Hardcover. . . . . . Books ship from the US and Ireland.

Taschenbuch. Condition: Neu. Neuware - Fault detection and identification (FDI) play a fundamental role in most modern industrial systems and processes. They are essential in ensuring safe and reliable operation. In this book, Chapter One and Chapter Two discuss general systems and the use of linearisations for active fault detection in nonlinear differential algebraic equations. Chapter Three provides a comparative analysis and comprehensive review of the existing fault detection methods, including manual picking and computer-aided automatic/semi-automatic extraction. Chapter Four studies self-adaptive expert systems for process monitoring and fault detection. The final chapter provides a review of an integrated Fault Detection and Diagnostics (FDD) system for HVAC&R based on virtual sensors.…

hardcover. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Fault Detection and Isolation (FDI) methods that monitor the navigation system for sensor faults in real-time, can contribute significantly to improve system reliability. Quick detection and isolation of sensor faults can prevent serious damages and irreparable consequences. In this book, remarkable model-based fault diagnosis techniques, such as the Structural Analysis and the Parity Space Approach, are presented and successfully applied to detect and isolate navigation sensor faults in an autonomous navigation robot. The dynamical model of the robot is derived in linear and nonlinear state-space form. Structural analysis is performed on the robot nonlinear model to analyse its structural properties, and thus to provide the set of redundancy relations necessary for fault diagnosis. The required knowledge about weak/strong detectability of sensor faults is obtained applying the Parity Space Approach to the robot linearized model. The effects of the sensor noise are also accounted. In this case, the fault detection reduces to the problem of detecting a change in the mean of a normally distributed random sequence. FDI applications on multi-sensor navigation systems are also provided.…

Taschenbuch. Condition: Neu. Fault Detection and Isolation for Multi-Sensor Navigation Systems | Model-Based Methods and Applications | Andrea Monteriù | Taschenbuch | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659384776 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. …