TY - JOUR
T1 - A Triboelectric Piston–Cylinder Assembly with Condition-Monitoring and Self-Powering Capabilities
AU - Li, Guoxing
AU - Wu, Hongyu
AU - Guo, Rui
AU - Zhang, Hulin
AU - Li, Lintao
AU - Iqbal, Muhammad Yousaf
AU - Gu, Fengshou
N1 - Funding Information:
This work was sponsored by the Natural and Scientific foundation of China (Grant no. 51805353) and Research Project Supported by Shanxi Scholarship Council of China (Grant no. HGKY2019041). Thanks to Tiantian Yang, Chaoliang He, Hang Bian, and Senxiang Li, of Taiyuan University of Technology, for their help in experimental testing.
Funding Information:
This work was sponsored by the Natural and Scientific foundation of China (Grant no. 51805353) and Research Project Supported by Shanxi Scholarship Council of China (Grant no. HGKY2019041). Thanks to Tiantian Yang, Chaoliang He, Hang Bian, and Senxiang Li, of Taiyuan University of Technology, for their help in experimental testing.
Publisher Copyright:
© 2022 Wiley-VCH GmbH.
PY - 2022/6/1
Y1 - 2022/6/1
N2 - The condition monitoring of piston–cylinder-reciprocating machinery usually relies on vibration and acoustic sensors installed on the outer surface of cylinders. However, vibration and acoustic signals are susceptible to external interference from other accessories, and require an external power supply, which limits its widespread application. Herein, based on the lateral sliding mode of triboelectric nanogenerator (TENG), a novel reciprocating device with condition-monitoring and self-powering capabilities is proposed, called piston–cylinder triboelectric nanogenerator (PCTN). The effects of different factors, including mean piston speed, number of piston rings, materials of piston ring and cylinder, on the output characteristics of PCTN are investigated, respectively. Two typical fault cases, that is, piston ring missing and coil fracture, are investigated to verify the condition-monitoring capability of PCTN. Piston ring missing faults can be effectively identified based on the variations in peak and root-mean-square (RMS) values of short-circuit current (I sc). Coil fracture faults can be identified and located by analyzing changes in time–domain curve and time–-frequency spectrum of I sc. Herein, a theoretical and experimental basis for the widespread application of PCTN in reciprocating machinery is provided.
AB - The condition monitoring of piston–cylinder-reciprocating machinery usually relies on vibration and acoustic sensors installed on the outer surface of cylinders. However, vibration and acoustic signals are susceptible to external interference from other accessories, and require an external power supply, which limits its widespread application. Herein, based on the lateral sliding mode of triboelectric nanogenerator (TENG), a novel reciprocating device with condition-monitoring and self-powering capabilities is proposed, called piston–cylinder triboelectric nanogenerator (PCTN). The effects of different factors, including mean piston speed, number of piston rings, materials of piston ring and cylinder, on the output characteristics of PCTN are investigated, respectively. Two typical fault cases, that is, piston ring missing and coil fracture, are investigated to verify the condition-monitoring capability of PCTN. Piston ring missing faults can be effectively identified based on the variations in peak and root-mean-square (RMS) values of short-circuit current (I sc). Coil fracture faults can be identified and located by analyzing changes in time–domain curve and time–-frequency spectrum of I sc. Herein, a theoretical and experimental basis for the widespread application of PCTN in reciprocating machinery is provided.
KW - condition monitoring
KW - piston–cylinder assembly
KW - reciprocating machinery
KW - self-powering
KW - triboelectric nanogenerator
UR - http://www.scopus.com/inward/record.url?scp=85127431430&partnerID=8YFLogxK
U2 - 10.1002/ente.202200014
DO - 10.1002/ente.202200014
M3 - Article
AN - SCOPUS:85127431430
VL - 10
JO - Energy Technology
JF - Energy Technology
SN - 2194-4288
IS - 6
M1 - 2200014
ER -