Windows mobile and tablet app for acoustic signature based machine health monitoring

With the availability of new APIs and IDE, App development has become easier than ever before. Fast processors, better RAM, better OS functionality and better storage options have given Smartphones and Tablets the capability to perform most functions for which previously a larger computing device was used. In this paper, we discuss about an application for performing Condition Based Monitoring (CBM) meant for Industrial Machines developed on two platforms namely Windows Mobile OS and Windows Tablet OS (Windows 8 Pro). The challenges faced in each platform and how they were encountered for making this into a successful app on Windows based smartphone & tablet for industrial use, have been thoroughly discussed in this paper. The application uses acoustic recordings and data mining techniques to distinguish between healthy and faulty states of a machine. The developed smartphone application was trained successfully on a reciprocating type air compressor for distinguishing Leakage Inlet Valve fault from Healthy state and was able to accurately detect the fault.