Identification and criticality assessment of the operational faults of the system

1
Prognostics concept
Specification of the objectives of the operation
of the production system or equipment, its
operational state, environment and reliability
Planning of the maintenance programme
Maintenance requirements
Identification and criticality assessment of the
operational faults of the system
Determination of the applicable and profitable
maintenance methods and strategies
Breakdown maintenance
Preventive maintenance
Condition monitoring
Predetermined maintenance
Condition based planned repairs
Cumulative data -operation time -loads -power -etc

Measurement based diagnostics and prognostics
Predictions based on fault statistics-disturbanc
es-number of faults, -need for repairs-need
for spare parts
Prognosis of the condition and service needs of
the targets
Predictions -risk level -remaining useful life
(distributions)
Component level fault detection short term
predictions
Equipment level medium term predictions
Averagedlong term predictions
2
Diagnostics Prognostics
Multiple-source data fusion, Data analysis,
reasoning Models, expert evaluation, trend
monitoring, fuzzy logic, neural nets,
Condition monitoring
Inspection and Maintenance Actions
Process Automation and Control
Signal analysis
Experience based tacit knowledge
Data acquisition (on-line / off-line)
NDT, Visual examination, Replica techniques
Operational data, Process conditions and
operational disturbances
Service and repair data, fault history
Selection of monitoring method
Critical machine / component
3
Component level fault detection short term
predictions
Scheduled shutdown
4
Equipment level medium term predictions
5
Long term predictions at system levelbased on
statistics