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  2. Predictive maintenance - Wikipedia

    en.wikipedia.org/wiki/Predictive_maintenance

    The use of Model Based Condition Monitoring for predictive maintenance programs is becoming increasingly popular over time. This method involves spectral analysis on the motor's current and voltage signals and then compares the measured parameters to a known and learned model of the motor to diagnose various electrical and mechanical anomalies.

  3. Condition monitoring - Wikipedia

    en.wikipedia.org/wiki/Condition_monitoring

    Model-based voltage and current systems (MBVI systems): This is a technique that makes use of the information available from the current and voltage signals across all three phases simultaneously. Model-based systems are able to identify many of the same phenomena also seen by more conventional techniques, covering electrical, mechanical, and ...

  4. Intelligent maintenance system - Wikipedia

    en.wikipedia.org/wiki/Intelligent_Maintenance_System

    A. K. S. Jardine et al., “A review on machinery diagnostics and prognostics implementing condition-based maintenance”, Mechanical Systems and Signal Processing 20 (2006) 1483–1510. R. C. M. Yam et al., “Intelligent Predictive Decision Support System forCondition-Based Maintenance”, Int J Adv Manuf Technol (2001) 17:383–391

  5. Maintenance - Wikipedia

    en.wikipedia.org/wiki/Maintenance

    Condition-based maintenance (CBM), shortly described, is maintenance when need arises. Albeit chronologically much older, It is considered one section or practice inside the broader and newer predictive maintenance field, where new AI technologies and connectivity abilities are put to action and where the acronym CBM is more often used to ...

  6. Prognostics - Wikipedia

    en.wikipedia.org/wiki/Prognostics

    Another example is MATLAB and its Predictive Maintenance Toolbox [24] which provides functions and an interactive app for exploring, extracting, and ranking features using data-based and model-based techniques, including statistical, spectral, and time-series analysis. This toolbox also includes reference examples for motors, gearboxes ...

  7. Fault detection and isolation - Wikipedia

    en.wikipedia.org/wiki/Fault_detection_and_isolation

    In model-based FDI techniques some model of the system is used to decide about the occurrence of fault. The system model may be mathematical or knowledge based. Some of the model-based FDI techniques include [2] observer-based approach, parity-space approach, and parameter identification based methods. There is another trend of model-based FDI ...

  8. C3.ai (AI) Q2 2025 Earnings Call Transcript - AOL

    www.aol.com/c3-ai-ai-q2-2025-044512282.html

    The PANDA application, which is the designated U.S. Air Force system of record for all CBM+ and predictive maintenance will expand to include new systems and 2 monitored aircraft, the KC-46 and ...

  9. Deterioration modeling - Wikipedia

    en.wikipedia.org/wiki/Deterioration_modeling

    A deterioration model can help decision-makers to understand how fast the condition drops or violates a certain threshold. [5] Traditionally, most municipalities have been using deterioration curves for deterioration modeling. [5] Recently, more complex methods based on simulation, Markov models and machine learning models

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