Consumer systems for home energy management can provide significant energy saving.
Such systems may be based on nonintrusive appliance load monitoring (NIALM), in which …

Abstract Since Dempster–Shafer evidence theory was proposed, it has been widely and
successfully used in many fields including risk analysis, fault diagnosis, wireless sensor …

Existing multi-view classification algorithms focus on promoting accuracy by exploiting
different views, typically integrating them into common representations for follow-up tasks …

Aiming at the problem that the most existing fault diagnosis methods could not effectively
recognize the early faults in the rotating machinery, the empirical mode decomposition, fuzzy …

A new method for state of health (SOH) and remaining useful life (RUL) estimations for
lithium-ion batteries using Dempster–Shafer theory (DST) and the Bayesian Monte Carlo …

This paper develops a novel multi-classifier information fusion approach that integrates the
probabilistic support vector machine (SVM) and the improved Dempster-Shafer (DS) …

Bearings are the key components of various rotating machinery, and their fault diagnosis is
very important for improving production safety and economic efficiency. In this paper, an end …

Effective fault diagnosis of rotating machinery has multifarious benefits, such as improved
safety, enhanced reliability, and reduced maintenance cost, for complex engineered …

The objective of this work is to identify failure modes and detect the onset of process
anomalies in additive manufacturing (AM) processes, specifically focusing on fused filament …

Uncertainty and imprecision accompany the world we live in and occur in almost every
event. How to better interpret and manage uncertainty and imprecision play a vital role in …