2 research outputs found
Condition Monitoring and Diagnosis of Steam Traps with Wireless Smart Sensors
An autonomous, wireless and self-powered smart
sensor is described, addressing the condition monitoring and
diagnosis of steam traps, whose performance degradation impairs
energy efficiency in most of the process industries. The diagnostic
criteria in the two possible failure modes of steam traps are
presented, as well as the structure and technologies of the
embedded devices for sensing, communication, and power supply,
special attention being paid to the capability to run the system on
the thermoelectric energy gathered from local pipes. Also, a
platform supporting the integration of ‘field’ devices in large
numbers is presented, which may address the data requirements
in the scope of Asset Management