Abstract:
A method and apparatus for data compression, particularly applicable to spectral signals such as Fast Fourier Transforms of vibration data. The data is merged to remove redundant frequencies when recorded at multiple sample rates, thresholded with respect to a noise floor to remove even more redundant data, and then the positions of non-zero signal values, with respect to the noise floor, are recorded in a first dataword and the non-zero signal values themselves are all recorded concatenated to form a second dataword. The compressed data set consists of the first and second datawords, together with the value of the noise floor, maximum original amplitude and the broadband power. In the event of successive data sets having the same or similar locations for non-zero signal values a re-use flag may be set and the locations dataword discarded. Preferably the signal values are non-linearly quantized to further reduce the amount of data.
Abstract:
A method for managing machine operation comprising sensing a plurality of operational variables for a machine during use thereof so as to generate operational data for said variables. The operational data is processed so as to determine features within the operational data which are indicative of a divergence from a desired operational state of the machine. Confidence values associated with said features are determined and used to assess whether the plurality of features and associated confidence values are indicative of a predetermined diagnosis for said machine. A confidence value for said diagnosis is determined based upon the associated feature confidence values and used to generate a signal indicative of an operational state of the machine. The invention may be used for engine health monitoring applications and may be used for determining necessary servicing or repair work for the engine.