The article presents the possibility of using machine learning (ML) in artificial intelligence to
classify the technical state of marine engine injectors. The technical condition of the internal …

Under high-temperature, high-speed, heavy-duty, and extreme lubrication operating
conditions, such as those found in gearboxes of aviation engines and electric vehicles, gear …

In this paper, two novel consistency vectors are proposed, which when combined with
appropriate machine learning algorithms, can be used to adapt the Spectral Kurtosis …

Introduction Intelligent diagnostics is the most important issue in the predictive maintenance
of industrial rotating machinery. Analytical diagnostics tools have been proved effective …

This paper presents a comprehensive study on the utilization of machine learning and deep
learning techniques to predict the dynamic characteristics of design parameters, exemplified …

Aiming at the problems of complex diesel engine cylinder head signals, difficulty in
extracting fault information, and existing deep learning fault diagnosis algorithms with many …

The health monitoring and fault diagnosis of heavy-duty engines are increasingly important
for energy storage ecosystem. During operation, vibration characters corresponding to the …

Two-stroke, low-speed diesel engines are widely used in large ships due to their good
performance and fuel economy. However, there have been few studies of the effects of …

This paper aims to investigate the vibroacoustic properties of biodiesel produced from waste
cooking oils and petroleum-based diesel fuel depending on engine speed and load. Tests …

The marine diesel engine is an important power machine for ships. Traditional machine
learning methods for diesel engine fault diagnosis usually require a large amount of labeled …