An Energy-Efficiency Wireless Sensing Method for Mechanical Failure Signal

Abstract

Wireless sensing is an effective method for the acquisition of the mechanical failure signal. Many researchers have been studying in this field for decades. Due to the difficulty of the sensor installing and replacement caused by the special environment condition of mechanical equipment, the energy-efficiency of the wireless transceiver is necessary to guarantee the long lifetime. In this paper, we present a novel energy-efficiency wireless sensing method for mechanical failure signal. Actually, we are only concerned with the feature of signals in the failure visible phase, in the application such as the mechanical failure diagnosis or alert. Therefore, according to the signal feature, a real-time data compressing algorithm is proposed, where the compressibility of data can dynamically be adjusted, on the basis of application demand. Then the clock frequency can be adjusted intelligently and the energy conservation can be accomplished, through the handshake between the sampling node of the front end and the received node, based on the compressing situation. In the conversion of clock frequency, an improved dif-frequency preamble sense way is adopted to achieve the seamless change between different frequencies. Finally, the method is analyzed and the feasibility is evaluated.

Swinging Door Trending Compression Algorithm for IoT Environments

“…In [16] is proposed an improved SDT called KSDT algorithm for being used in a wireless sensing for the acquisition of the mechanical failure signal. The authors designed a way to dynamically adjust the value of CD that is based on the specific parameters used in machine condition monitoring.…”