Abstract: An apparatus and method for analyzing and diagnosing the operational condition and malfunctions of snow removal equipment. A diagnostic interface coupled to snow removal equipment and to an analysis module retrieves and analyzes data and compares the data to a set of reference data. The apparatus and method can further comprise a display module for displaying detailed information relating to the operational status of the snow removal equipment. Alternative embodiments of the present invention are mobile or facilitate servicing networks.

Abstract: A method and system for monitoring an industrial process and a sensor. The method and system include generating a first and second signal characteristic of an industrial process variable. One of the signals can be an artificial signal generated by an auto regressive moving average technique. After obtaining two signals associated with one physical variable, a difference function is obtained by determining the arithmetic difference between the two pairs of signals over time. A frequency domain transformation is made of the difference function to obtain Fourier modes describing a composite function. A residual function is obtained by subtracting the composite function from the difference function and the residual function (free of nonwhite noise) is analyzed by a statistical probability ratio test.