Prism signal processing for machine condition monitoring I: Design and simulation

An earlier study described a wireless acceleration sensor used to perform condition monitoring of rotating machinery, via off-line spectral analysis. In this paper, a new technique called Prism signal processing is applied to the same problem to provide sample-by-sample analysis of the machine rotation. The Prism has low design cost and low computational cost, and so is particularly suited to the flexible signal processing requirements for the Internet of Things. This paper provides an overview of the sensor and its experimental rig as well as the Prism-based signal processing scheme used to track the key components for diagnostic monitoring. The validity of the signal processing scheme is demonstrate via a simulation.