ABSTRACT
Detection and diagnosis of faults in batch process operations is of great significance for productivity and product quality improvements. Several disciplines including statistics, systems science, signal processing, and computer science have contributed to the development of fault detection and diagnosis (FDD) techniques. FDD systems implement the following tasks [189]:
Fault detection: Indication of abnormal system behavior. This can be achieved by process monitoring techniques discussed in earlier chapters or by a number of other paradigms.
