An adaptation of HMM for signal segmentation is proposed. It is developed for Health Index
(HI) data, which behave in different ways depending on machine condition. HI can be …

The prognosis of a machine condition becomes a hot topic nowadays, as the condition
monitoring installations provide a massive amount of Health Index (HI) data that could be …

The number of timely diagnoses based on condition monitoring data is increasing with the
growing usage of monitoring systems. In most of the methods used in these systems, a pre …

Estimation of the remaining useful life (RUL) of industrial machinery is essential for condition-
based maintenance (CBM). While numerous papers have explored this issues, challenges …

Multi-sensor monitoring data provide abundant information resources for complex machine
systems, which facilitates monitoring the degradation process of machinery and ensuring the …

Machinery condition prognosis systems use long-term historical data to predict the
remaining useful life (RUL). One of the critical steps to reach this purpose is to segment long …

Abstract Machine condition monitoring systems are frequently used in the industry,
especially for critical infrastructure. Decision making is still challenging due to the lack of …

A considerable part of enterprises' total expenses is dedicated to maintenance interventions.
Predictive maintenance (PdM) has appeared as a solution to decrease these costs; …

Predicting remaining useful life (RUL) plays a critical role in condition-based maintenance
(CBM). However, this task remains challenging as the collected data often has time-varying …

The paper discusses the challenge of evaluating the prognosis quality of machine health
index (HI) data. Many existing solutions in machine health forecasting involve visual …