Abstract
Recently, with the development of industrial informatization and intellectualization, the development of smart bearings has attracted a lot of significant attention in an attempt to reduce maintenance costs and increase reliability by providing online health condition monitoring. As a result of advances in miniaturization and low power consumption of wireless sensor nodes (WSNs), self-powered technologies have been considered as a promising method to achieve autonomous WSNs in smart bearings. Although the self-powered technology has received considerable achievements, there are less reviews covering the development of self-powered structures towards smart bearing and providing potential guidelines for the future development. To bridge the gap, this paper presents a comprehensive state-of-the-art review and guidelines on self-powered methods to create smart bearings, including outlining the underlying theory, modeling methods, methodologies and technologies. The topology of a self-powered smart bearing is clarified, and the mechanisms and benefits of piezoelectricity, electromagnetism, triboelectricity, thermoelectricity and wireless power transfer for powering WSNs in smart bearing are discussed. To improve the applicability of self-powered smart bearing in a range of working conditions, the design methodologies and technologies of a variety of transducers are reviewed to provide guidelines for performance enhancement. Finally, the future challenges and perspectives are proposed for outlining potential research directions and opportunities in future self-powered smart bearing systems, including the impact on bearing performance, engineering implementation, reliability, power management and storage.
| Original language | English |
|---|---|
| Article number | 113446 |
| Journal | Renewable and Sustainable Energy Reviews |
| Volume | 183 |
| Early online date | 12 Jun 2023 |
| DOIs | |
| Publication status | Published - 1 Sept 2023 |
Bibliographical note
Funding Information:This work was supported by the National Key Research and Development Program of China (grant numbers 2021YFE0203400 ); the National Natural Science Foundation of China (grant numbers 51975453 ); the Royal Society (grant numbers IEC\NSFC\170589 ); and the Swedish Foundation for International Cooperation in Research and Higher Education (grant numbers IB2019-8169 )
Data Availability Statement
No data was used for the research described in the article.Funding
This work was supported by the National Key Research and Development Program of China (grant numbers 2021YFE0203400 ); the National Natural Science Foundation of China (grant numbers 51975453 ); the Royal Society (grant numbers IEC\NSFC\170589 ); and the Swedish Foundation for International Cooperation in Research and Higher Education (grant numbers IB2019-8169 ). The smart bearing is a fully integrated system that includes the bearing structure, miniatured sensors, signal collection, signal processing, wireless transmission, cloud computing and terminals for achieving online monitoring, fault detection and online control. The development of intelligent machines has become a trend in terms of industrial development, and has attracted much attention worldwide, including the National Artificial Intelligence Initiative Office, Industry 4.0, Next Generation Production System, and Made in China 2025. The motivation of creating a smart bearing is to detect condition signals, predict the remaining lifetime and enable the diagnosis of early faults. As a result, the bearing can be repaired or replaced prior to any severe failure. The most common physical signals used for fault diagnosis are vibration, temperature, load, and speed. To promote the development of smart bearing, many efforts have been devoted by famous enterprises and nations. For example, the “Intelligent Bearing” project and “Integrated Intelligent Bearing Systems for UHPE Ground Test Demo (I2BS)” were supported by European Union's Horizon 2020 in 2016 whereby sensors, transmission, data processing and energy supplies were fully integrated together properly [4,5]. In addition, well-known enterprises such as the Schaeffler Group, Fersa and SKF, have presented their smart bearing demonstrators, including FAG-Variosense, MOSS and SKF Insight series [6].This work was supported by the National Key Research and Development Program of China (grant numbers 2021YFE0203400); the National Natural Science Foundation of China (grant numbers 51975453); the Royal Society (grant numbers IEC\NSFC\170589); and the Swedish Foundation for International Cooperation in Research and Higher Education (grant numbers IB2019-8169).
Keywords
- Condition monitoring
- Energy harvesting
- Rotational motion
- Self-powered
- Smart bearing
ASJC Scopus subject areas
- Renewable Energy, Sustainability and the Environment
