Accurate fault diagnosis of rolling bearing under variable working conditions can ensure that
the rotating machinery run in a safety, reliable and efficient way. In this paper, we propose …

With the widespread use of deep learning (DL) related techniques, many end-to-end
planetary gearbox fault diagnosis models have been proposed. The input samples of DL …

Considering the characteristics of rolling bearing such as variable working conditions,
unbalanced fault sample size, and multiple coupling fault types, it is a great challenge to …

Abstract Compression‐ignition (CI) engines, aka diesel engines, are responsible for an
essential percentage of the world‐polluting emissions. Moreover, bearings installed in …

Mechanical vibration constitutes a valuable cue for performing fault diagnosis as it is directly
related to the transient regime of rolling machinery. This study establishes a multidomain …

Measurements recorded continuously throughout a flight at high sampling rates facilitate
transient engine condition monitoring. This promises the generation of a large number of …

Abstract Internal Combustion Engines (ICE) are widely used in everyday life regardless of its
contaminant emissions production, in order to reduce the impact of these emissions it is …

Today, the most fundamental issue of condition monitoring in most industrial plants is fault
diagnostics and prognostics. One of the most effective approaches to investigate this issue is …

Today, the most fundamental issue of condition monitoring in most industrial plants is fault
diagnostics and prognostics. One of the most effective approaches to investigate this issue is …

To solve the problem of maintenance lag caused by long-term ocean voyage, a health
assessment method is proposed based on the testability model for diesel engine. Firstly, the …