Dependable Wireless Sensor Networks for Prognostics and Health Management: A Survey
Abstract
Maintenance is an important activity in industry as it reduces costs and enhances availability. This can be done either to revive a system/component or to prevent it from breaking down. The increasing need for reliability has led maintenance strategies to evolve from corrective to condition-based and predictive maintenance. The key process of the latter is prognostics and health management, a tool that predicts the remaining useful life of engineering assets. As plants are requested to offer both safety and reliability, planning a maintenance activity requires accurate information about the system/component health state. Usually, this information is gathered through independent sensors or a wired network of sensors. The use of a wireless sensor network has many advantages. First of all, the absence of wires gives sensor networks the ability to cover a large scale surveillance area. Second, it has become possible to monitor hostile and inaccessible areas by simply dropping the sensors from an aircraft to the monitoring region. Finally, the accuracy of measurements can be improved as the sensors can be placed at specific locations without being wired. Even though the deployment of wireless sensor networks is gaining great importance in monitoring applications, there are some research issues that still need to be studied to provide more accurate and reliable data.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 02, 2014
- Accession Number
- AD1002835
Entities
People
- C. Guyeux
- J. M. Bahi
- K. Medjaher
- M. Hakem
- N. Zerhouni
- W. Elghazel
Organizations
- Marie and Louis Pasteur University