Observer-based Fault Estimation Techniques (studies In Systems, Decision And Control)
by Bin Jiang /
2017 / English / PDF
9 MB Download
This book investigates observer-fault estimation techniques in
detail, while also highlighting recent research and findings
regarding fault estimation. Many practical control systems are
subject to possible malfunctions, which may cause significant
performance loss or even system instability. To improve the
reliability, performance and safety of dynamical systems, fault
diagnosis techniques are now receiving considerable attention,
both in research and applications, and have been the subject of
intensive investigations. Fault detection – the essential first
step in fault diagnosis – is a binary decision-making process
used to determine whether or not a fault has occurred. In turn,
fault isolation is used to identify the location of the faulty
component, while fault estimation is used to identify the size of
the fault online. Compared with the problems involved in fault
detection and isolation, fault estimation is considerably more
challenging.
This book investigates observer-fault estimation techniques in
detail, while also highlighting recent research and findings
regarding fault estimation. Many practical control systems are
subject to possible malfunctions, which may cause significant
performance loss or even system instability. To improve the
reliability, performance and safety of dynamical systems, fault
diagnosis techniques are now receiving considerable attention,
both in research and applications, and have been the subject of
intensive investigations. Fault detection – the essential first
step in fault diagnosis – is a binary decision-making process
used to determine whether or not a fault has occurred. In turn,
fault isolation is used to identify the location of the faulty
component, while fault estimation is used to identify the size of
the fault online. Compared with the problems involved in fault
detection and isolation, fault estimation is considerably more
challenging.
