In this study, self-powered fault diagnosis of rolling bearing (SP-FDRB) is conducted based
on the triboelectric effect. Flexible interdigital electrodes are glued to the outer ring of a …

With the widespread application of the Internet of Things (IoT) technology, smart fault
detection and condition monitoring are urgently required in mechanical systems. The …

Ensuring the normal operation of bearings is crucial for the safety of the equipment. In order
to better monitor the condition of bearings, a smart triboelectric nanogenerator embedded …

Accurately sensing the main bearing state and diagnosing fault types is crucial to ensure the
safe operation of the main drive system of tunnel boring machines. Currently, the research …

Highlights•The TBM main bearing fault diagnosis algorithm applies to low-speed, few fault
samples, and variable working conditions.•Developed smart rollers integrate vibration …

The remote prognosis and diagnosis of bearings can prevent industrial system failures, but
the availability of realistic experimental data, being as close as possible to those detected in …

The steel rolling process is critical for safety and maintenance because of loading and
thermal operating conditions. Machinery condition monitoring (MCM) increases the system's …

The remote prognosis and diagnosis of bearings can prevent industrial system failures, but
the availability of realistic experimental data, being as close as possible to those detected in …

Background: The large amount of data generated by intelligent bearings still needs to be
processed manually, which results in low efficiency, untimely access to status and fault …