Title :
A hybrid sensor network for the real-time condition monitoring of rotating machinery
Author :
Gomes, Rui P N ; Faria, Sérgio P S ; Oliveira, José E G ; Falcão, Paulo M R ; Cardoso, Francisco J A
Author_Institution :
Phys. Dept., Univ. of Coimbra, Coimbra, Portugal
Abstract :
In this demo we address an application of a Predictive Maintenance Industrial system, for the monitoring of rotating machinery, which integrates both wired and wireless sensors, which comprise a triaxial acceleration sensor and a temperature sensor, in an Hybrid Network of sensors. The emphasis of the demonstration will be in this dual existence of networks, all integrated in one monitoring system. The setup will consist on the installation of two temperature and vibration sensor networks: i) a Zigbee network, ii) a Controller Area Network (CAN) which, through a Gateway setup, will be transmitting sensor data remotely, via the Zigbee network. All the information will be monitored in a PC, which will allow sensor configuration and the request of different kinds of desired data.
Keywords :
condition monitoring; maintenance engineering; personal area networks; turbomachinery; vibrations; wireless sensor networks; Zigbee network; condition monitoring; controller area network; hybrid sensor network; predictive maintenance industrial system; rotating machinery; triaxial acceleration sensor; vibration sensor networks; Logic gates; Monitoring; Temperature sensors; Vibrations; Wireless communication; Wireless sensor networks; Zigbee; CAN; Condition Based Monitoring; Predictive Maintenance; Smart Sensor Networks; Zigbee;
Conference_Titel :
Distributed Computing in Sensor Systems Workshops (DCOSSW), 2010 6th IEEE International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
978-1-4244-8076-0
DOI :
10.1109/DCOSSW.2010.5593274
