This paper provides a comprehensive literature review on Predictive Maintenance (PdM)
with emphasis on system architectures, purposes and approaches. In industry, any outages …

Machinery will fail due to complex and tough working conditions. It is necessary to apply
reliable monitoring technology to ensure their safe operation. Condition-based maintenance …

Timely and accurate fault diagnosis plays a critical role in today's smart manufacturing
practices, saving invaluable time and expenditure on maintenance process. To date …

For vibration signal of rolling bearing with long time series obtained from multiple sampling
points, hybrid multimodal fusion with deep learning is proposed for fault diagnosis. Feature …

Monitoring a system is often not an easy task and the best approach to address it would be
to develop a monitoring system that uses data, expert knowledge, and mathematical models …

Fault diagnosis of dynamic systems is done by detecting changes in time-series data, for
example residuals, caused by system degradation and faulty components. The use of …

Fault Isolation is a critical step in any fault diagnosis method, and the difficulty increases with
the complexity of the system. When there are not enough sensors in the system, the …

Intermittent faults (IFs) are common in electronic systems, which are short-term, repeatable
and cumulative. IF samples are difficult to collect, so detection is usually performed using …

This paper explores dimensionality reduction (DR) approaches for visualizing high
dimensional data in chemical processes. Visualization provides powerful insight and …

In avionics and industrial electronic systems, analog circuits are one of the most commonly
used components. Intermittent faults (IFs) are a no fault found (NFF) state in analog circuits …