The pervasive digital innovation of the last decades has led to a remarkable transformation
of maintenance strategies. The data collected from machinery and the extraction of valuable …

Prognostic Health Management (PHM) is a predictive maintenance strategy, which is based
on Condition Monitoring (CM) data and aims to predict the future states of machinery. The …

Predictive Maintenance (PdM) is the newest strategy for maintenance management in
industrial contexts. It aims to predict the occurrence of a failure to minimize unexpected …

The detection of uncharacterized events during electromechanical systems operation
represents one of the most critical data challenges dealing with condition-based monitoring …

Predictive maintenance allows industries to keep their production systems available as
much as possible. Reducing unforeseen shutdowns to a level that is close to zero has …

Cyclostationary analysis has been strongly recognized as an effective demodulation tool in
identifying fault features of rotating machinery based on vibration signature analysis. This …

Measuring systems are becoming increasingly sophisticated in order to tackle the
challenges of modern industrial problems. In particular, the Multiphase Flow Meter (MPFM) …

Negli ultimi dieci anni la disponibilità di grandi quantità di dati e potenza di calcolo ha spinto
la comunità scientifica verso lo sviluppo di algoritmi capaci di imparare autonomamente dai …

As relevant aspects of PHM, feature extraction and diagnostics represent the focus of many
paper related to predictive maintenance. Feature extraction is a fundamental part in PHM, as …

During actual engineering, due to the influence of complex operation conditions, the data of
complex systems are distinct, and the range of similarity differs under complex operation …