Gears are an important component of industrial machinery and a breakdown of machinery
on account of the failure of gears could result in immense production loss. Timely monitoring …

Predictive maintenance is one of the major tasks in today's modern industries. All rotating
machines consisting of rotating elements such as gears, bearings etc are considered as the …

Over the past decades, deep learning techniques have attracted increased attention from
various research and industrial domains aligned with the development of Industry Internet-of …

The ability to detect anomalies in time series is considered highly valuable in numerous
application domains. The sequential nature of time series objects is responsible for an …

In aerospace industry, gears are the most common parts of a mechanical transmission
system. Gear pitting faults could cause the transmission system to crash and give rise to …

This paper deals with gear pitting fault diagnosis problem and presents a method by
integrating convolutional neural network (CNN) and gated recurrent unit (GRU) networks …

Gearboxes are widely used in industrial processes as mechanical power transmission
systems. Then, gearbox failures can affect other parts of the system and produce economic …

Fault diagnosis plays a significant role in enhancing the useful lifetime, power output, and
reliability of photovoltaic modules (PVM). Visual faults such as burn marks, delamination …

Condition monitoring of helicopter transmission system is the main focus of Health and
Usage Monitoring System. Existing anomaly detection methods for transmission system …

Due to its capital-intensive nature, the Oil and Gas industry requires high operational
standards to meet safety and environmental requirements, while maintaining economical …