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Predictive Maintenance in Production Systems Optimization

This concept focuses on planning maintenance programs for production systems, including breakdown maintenance, condition monitoring, and diagnostics. It involves using data analysis, reasoning models, and expert evaluation to predict faults, optimize maintenance strategies, and extend equipment life.

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Predictive Maintenance in Production Systems Optimization

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  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-disturbances-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 Process Automation and Control Inspection and Maintenance Actions Signal analysis Experience based tacit knowledge Data acquisition (on-line / off-line) Operational data, Process conditions and operational disturbances NDT, Visual examination, Replica techniques 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

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