Apnea is a sleep disorder that stops or reduces airflow for a short time during sleep. Sleep
apnea may last for a few seconds and happen for many while sleeping. This reduction in …

Most existing deep learning (DL)-based health prognostic methods assume that the training
and testing datasets are from identical machines operating under similar conditions …

Planetary gearbox fault detection is important in terms of life-threatening failure prevention
and maintenance optimization. This article focuses on the representation of the planetary …

CNN-based fault diagnosis approaches have achieved promising results in improving the
safety and reliability of rotating machinery. Most of the existing CNN models are developed …

The gearbox is a vital component for rotating machinery and has been used in many critical
engineering applications. Surface wear is a common but inevitable phenomenon during the …

Photovoltaic power generation has remarkable environmental benefit, and it is one of the
effective means to fundamentally solve environmental problem. An accurate photovoltaic …

This paper provides a review of the common fuzzy system-based controllers as one of the
most powerful approaches in the control problem of antilock braking systems (ABSs) which …

Photovoltaic (PV) power generation has emerged as an essential means of developing and
utilizing new energy. Accurate PV power prediction is critical for building a new power …

With the development of machine learning, data-driven mechanical fault diagnosis methods
have been widely used in the field of PHM. Due to the limitation of the amount of fault data, it …

The variation of working conditions makes the probability distribution of the source domain
data and the target domain data differ greatly, which leads to the performance degradation …