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Data-Driven Fault Diagnosis for Electric Drives: A Review
(MDPI, 2021)
The need to manufacture more competitive equipment, together with the emergence of the digital technologies from the so-called Industry 4.0, have changed many paradigms of the industrial sector. Presently, the trend has ...
A novel machine learning‐based methodology for tool wear prediction using acoustic emission signals
(MDPI, 2021)
There is an increasing trend in the industry of knowing in real-time the condition of their assets. In particular, tool wear is a critical aspect, which requires real-time monitoring to reduce costs and scrap in machining ...
A Diagnostics Framework for Underground Power Cables Lifetime Estimation Under Uncertainty
(IEEE, 2020)
Power cables are critical assets for the reliable operation of the grid. The cable lifetime is generally estimated from the conductor temperature and associated lifetime reduction.
However, these tasks are intricate due ...
Probabilistic forecasting informed failure prognostics framework for improved RUL prediction under uncertainty: A transformer case study
(Elsevier Ltd., 2022)
The energy transition towards resilient and sustainable power plants requires moving from periodic health assessment to condition-based lifetime planning, which in turn, creates new challenges and opportunities for health ...
