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Fault Prognosis and Fault
Magnitude Estimation Based on Hybrid
Computational Intelligence and Data Analysis
Techniques for Industrial Processes
Fault prognosis technology is a more advanced
form of maintenance support than fault
diagnosis. It is a new multidisciplinary
discipline that involves mechanical, electronic,
computer, communications, control, and materials.
It takes the operating status of the current
system as a starting point and combines the
structural characteristics, parameters,
environmental conditions, and historical data of
known predicted objects to predict, analyze, and
determine the future faults of the system and
determine the nature, type, degree, and cause of
the fault. It points out the development trend
and consequences of the failure so that the
failure can be eliminated in advance to ensure
the normal operation of the system and reduce
maintenance costs.
To investigate the possible use of fault
prognosis in the industrial process, various
data-based methods are combined to analyze the
development trend of system failure data and
apply as much as possible to a variety of
systems. Simulated chemical plants will be used
to test the developed fault prognosis methods.
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