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H. Mastouri

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Open access Jul 2026

Smart Fault Diagnosis in Turbine Bearings: Using Control Charts for Predictive Maintenance and Machine Health Monitoring

Proactive detection of faults in turbine bearings is key to ensuring system reliability in industrial systems. This work introduces the use of Moving Average (MA) and Exponentially Weighted Moving Average (EWMA) control charts for diagnosing bearing faults in the context of predictive maintenance. Unlike other statisti...

Ali Khouilid, Erroumayssae Sabani, H. Mastouri et al. · 0 citations
Open access Jul 2026

Advanced Bearing Condition Monitoring for Energy Production Machinery via Koopman Dynamics

Monitoring the health of bearings in industrial rotating machines is a major challenge for ensuring the reliability and continuous operation of installations. Conventional fault detection methods, based on multivariate control charts such as Hotelling’s T2, multivariate exponentially weighted moving average, or multiva...

Erroumayssae Sabani, E. Loualid, H. Mastouri et al. · 0 citations

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