A review on energy harvesting supplying wireless sensor nodes for machine condition monitoring

Xiaoli Tang, Zainab Mones, Xianghong Wang, Fengshou Gu, Andrew D. Ball

Research output: Chapter in Book/Published conference outputConference publication

Abstract

Condition monitoring (CM) deliveries significant benefits to industries by reducing breakdown losses of machines and enhancing their safe and high-performance operations. Monitoring the machine conditions in real time using an appropriate wireless sensor network (WSN) has the advantages of the avoidance of cable usages, ease of system deployment and hence cost-effectiveness of CM implementation. One of the major challenges for WSN is the battery replacement. Generally, the batteries of sensor nodes are difficult to recharge or replace due to the inevitable layout at inaccessible or risky positions. Recently, energy harvesting (EH) applied to WSNs has increasingly caught the attention of researchers due to the ideal permanent non-maintenance requirements of the autonomous WSN nodes. This paper overviews the principles of several promising EH technologies (including photovoltaic, thermoelectric, pyroelectric, piezoelectric, electromagnetic, triboelectric EH technologies) used in various fields. In addition, the corresponding EH prototypes and fabricated products developed by various researchers are reviewed. After the discussion of the advantages and limitations of different technologies, the EH technologies are evaluated for further development of the energy harvesters to achieve a maintenance-free system for reliable monitoring machines. Finally, a discussion on challenges, applications and future developments of EH applied for machine CM is held.

Original languageEnglish
Title of host publicationICAC 2018 - 2018 24th IEEE International Conference on Automation and Computing
Subtitle of host publicationImproving Productivity through Automation and Computing
EditorsXiandong Ma
PublisherIEEE
ISBN (Electronic)9781862203426, 978-1-86220-341-9
ISBN (Print)978-1-5386-4891-9
DOIs
Publication statusPublished - 1 Jul 2019
Event24th IEEE International Conference on Automation and Computing, ICAC 2018 - Newcastle upon Tyne, United Kingdom
Duration: 6 Sept 20187 Sept 2018

Publication series

NameICAC 2018 - 2018 24th IEEE International Conference on Automation and Computing: Improving Productivity through Automation and Computing

Conference

Conference24th IEEE International Conference on Automation and Computing, ICAC 2018
Country/TerritoryUnited Kingdom
CityNewcastle upon Tyne
Period6/09/187/09/18

Keywords

  • Energy harvesting
  • Machine condition monitoring
  • Maintenance free
  • Wireless sensor networks

Fingerprint

Dive into the research topics of 'A review on energy harvesting supplying wireless sensor nodes for machine condition monitoring'. Together they form a unique fingerprint.

Cite this