Energy Harvesting Microelectromechanical System for Condition Monitoring Based on Piezoelectric Transducer Ring
For complex mechanical transmission equipment, shaft bearings are usually enclosed together with the shaft in the internal space of the housing to maintain good sealing and reliability. However, it is difficult to monitor the status of the shaft bearing through external sensors on the housing, while...
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MDPI AG
2025-05-01
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| Series: | Micromachines |
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| Online Access: | https://www.mdpi.com/2072-666X/16/6/602 |
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| author | Kaixuan Wang Hao Long Di Song Hasan Shariar |
| author_facet | Kaixuan Wang Hao Long Di Song Hasan Shariar |
| author_sort | Kaixuan Wang |
| collection | DOAJ |
| description | For complex mechanical transmission equipment, shaft bearings are usually enclosed together with the shaft in the internal space of the housing to maintain good sealing and reliability. However, it is difficult to monitor the status of the shaft bearing through external sensors on the housing, while internal sensors face challenges in energy supply and data transmission. Therefore, a piezoelectric transducer ring-based energy harvesting microelectromechanical system (PTR-EH-MEMS) is proposed for the condition monitoring of shaft bearings. Specifically, the piezoelectric transducer ring is designed to convert mechanical vibrations into electrical energy, which simultaneously acts as a self-powered monitoring sensor through energy harvesting. In addition, the MEMS is embedded for piezoelectric data processing and condition monitoring of the shaft bearings. To verify the proposed PTR-EH-MEMS, an experimental investigation is implemented under different conditions. The experimental results demonstrate that the system can achieve the maximum DC output of 0.8 V and the root mean square power of 43.979 μW within 128 s, which can effectively identify early-stage bearing faults frequency through a self-powered mode. By combining energy harvesting with condition monitoring capability, the PTR-EH-MEMS offers a compact and sustainable approach for predictive maintenance in rotating machinery, reducing the reliance on external power sources and enhancing the reliability of industrial systems. |
| format | Article |
| id | doaj-art-049a29cb96f84acc9a537d01e6e46fac |
| institution | Kabale University |
| issn | 2072-666X |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Micromachines |
| spelling | doaj-art-049a29cb96f84acc9a537d01e6e46fac2025-08-20T03:29:48ZengMDPI AGMicromachines2072-666X2025-05-0116660210.3390/mi16060602Energy Harvesting Microelectromechanical System for Condition Monitoring Based on Piezoelectric Transducer RingKaixuan Wang0Hao Long1Di Song2Hasan Shariar3School of Information Engineering, Xuzhou College of Industrial Technology, Xuzhou 221140, ChinaSchool of Information Engineering, Xuzhou College of Industrial Technology, Xuzhou 221140, ChinaSchool of Mechatronic Engineering, Jiangsu Normal University, Xuzhou 221116, ChinaDepartment of Mechanical Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, CanadaFor complex mechanical transmission equipment, shaft bearings are usually enclosed together with the shaft in the internal space of the housing to maintain good sealing and reliability. However, it is difficult to monitor the status of the shaft bearing through external sensors on the housing, while internal sensors face challenges in energy supply and data transmission. Therefore, a piezoelectric transducer ring-based energy harvesting microelectromechanical system (PTR-EH-MEMS) is proposed for the condition monitoring of shaft bearings. Specifically, the piezoelectric transducer ring is designed to convert mechanical vibrations into electrical energy, which simultaneously acts as a self-powered monitoring sensor through energy harvesting. In addition, the MEMS is embedded for piezoelectric data processing and condition monitoring of the shaft bearings. To verify the proposed PTR-EH-MEMS, an experimental investigation is implemented under different conditions. The experimental results demonstrate that the system can achieve the maximum DC output of 0.8 V and the root mean square power of 43.979 μW within 128 s, which can effectively identify early-stage bearing faults frequency through a self-powered mode. By combining energy harvesting with condition monitoring capability, the PTR-EH-MEMS offers a compact and sustainable approach for predictive maintenance in rotating machinery, reducing the reliance on external power sources and enhancing the reliability of industrial systems.https://www.mdpi.com/2072-666X/16/6/602energy harvestingMEMSpiezoelectric transducercondition monitoringshaft bearing |
| spellingShingle | Kaixuan Wang Hao Long Di Song Hasan Shariar Energy Harvesting Microelectromechanical System for Condition Monitoring Based on Piezoelectric Transducer Ring Micromachines energy harvesting MEMS piezoelectric transducer condition monitoring shaft bearing |
| title | Energy Harvesting Microelectromechanical System for Condition Monitoring Based on Piezoelectric Transducer Ring |
| title_full | Energy Harvesting Microelectromechanical System for Condition Monitoring Based on Piezoelectric Transducer Ring |
| title_fullStr | Energy Harvesting Microelectromechanical System for Condition Monitoring Based on Piezoelectric Transducer Ring |
| title_full_unstemmed | Energy Harvesting Microelectromechanical System for Condition Monitoring Based on Piezoelectric Transducer Ring |
| title_short | Energy Harvesting Microelectromechanical System for Condition Monitoring Based on Piezoelectric Transducer Ring |
| title_sort | energy harvesting microelectromechanical system for condition monitoring based on piezoelectric transducer ring |
| topic | energy harvesting MEMS piezoelectric transducer condition monitoring shaft bearing |
| url | https://www.mdpi.com/2072-666X/16/6/602 |
| work_keys_str_mv | AT kaixuanwang energyharvestingmicroelectromechanicalsystemforconditionmonitoringbasedonpiezoelectrictransducerring AT haolong energyharvestingmicroelectromechanicalsystemforconditionmonitoringbasedonpiezoelectrictransducerring AT disong energyharvestingmicroelectromechanicalsystemforconditionmonitoringbasedonpiezoelectrictransducerring AT hasanshariar energyharvestingmicroelectromechanicalsystemforconditionmonitoringbasedonpiezoelectrictransducerring |