In the modern manufacturing industry, mechanical equipment plays a crucial role.
Equipment working in harsh environments for a long time is more likely to break down …

Traditional fault diagnosis approaches of rolling bearing often need abundant labeled data
in advance while some certain fault data are difficult to be acquired in engineering …

Rotating equipment is considered as a key component in several industrial sectors. In fact,
the continuous operation of many industrial machines such as sub-sea pumps and gas …

The transient impulse features caused by rolling bearing faults are often present in the
resonance frequency band which is closely related to the dynamic characteristics of the …

Health indicator (HI), which aims to make quantitative measures for machinery operating
state at different degradation stages, is very critical in machinery condition monitoring. Some …

Periodic impacts are considered as the important defect signatures of wind turbine bearing.
However, it is difficult to separate the weak periodic impacts from collected signal under …

Tacholess order tracking (TLOT) has been one of the most powerful and applicable rotating
machinery fault diagnosis methods. However, it is still a challenge to accurately estimate the …

Rolling bearings are widely used in rotating machinery and their failures may result in
machine breakdown. Cage failure is of great concern because it may cause disassembly of …

The singular spectrum decomposition (SSD) is an effective signal denoising tool and has
been attracted much attention in fault diagnosis. However, the filtering effect and calculation …

Nowadays, multi-fault diagnosis has become the most interesting topic for researchers,
since it has lately attracted a substantial attention. The most published works recently have …