Benoît Iung

Learning representations with end-to-end models for improved remaining useful life prognostics

The remaining Useful Life (RUL) of equipment is defined as the duration between the current time and its failure. An accurate and reliable prognostic of the remaining useful life provides...

A Bayesian-based optimization approach for accelerated degradation test plan of a LED component with self-heating impact

Balancing Between Integration and Distribution Paradigms: The Modelling Process of the European CMMS - IAMS Projects

Modelling of an Alstom Electrical Engine Manufacturing Line According to Process Approach Advocated by Stand ISO9000: 2000

Towards interpreting deep learning models for industry 4.0 with gated mixture of experts

Sustainable Maintenance Performances and EN 15341: 2019: An Integration Proposal

Impact of Sensor Degradation on Measurement Quality in Reliability Engineering: A Review

Reliability and Maintenance Cost Forecasting for Systems with Multistate Components Using Artificial Neural Networks

Reliability Assessment of Optoelectronic Systems with Stochastic Interactions under Accelerated Degradation Testing

A Short Review on the Integration of Expert Knowledge in Prognostics for PHM in Industrial Applications

An innovative hydraulic turbine governor for predictive maintenance of hydropower plant