Non-intrusive load monitoring for water (WaterNILM)

Abstract

Better water consumption decisions benefit from detailed use information. Easily installed non-intrusive vibration sensors provide a "no-fuss" retrofit solution for detecting the operation of water consuming appliances. The sensors measure pipe vibration, which are revealed to be a rich source of information for identifying loads. Vibration is processed to extract power spectral density based features which are classified with a clustering algorithm trained during install. The results can be used to track load operating schedule from the vibration data collected from as little as one pipe in a home. Mechanics governing the observed signals, and signal processing to extract operating information, are discussed in this paper. Field data from three different homes demonstrates the accuracy of this approach.

Pipeline Leak Detection Using the Matched-Field Processing Method

“…The former can be assumed if, in the concerned bandwidth, the energy at various frequencies does not significantly change or no prior information is available for noise structure. Nonwhite noise is more common in real-world pipeline applications in which the source of noise can be due to equipment accuracy, turbulence, dynamic devices such as pumps, traffic, and so forth (Schantz et al 2014;Hwang et al 2009). In what follows, white noise is first dealt with and then the approach is generalized to the case of nonwhite noise through the use of noise whitening.…”