Embedded autonomous fault monitoring and abnormal data recording device for detector
A technology of abnormal data and fault monitoring, which is applied in the direction of instruments, simulators, computer control, etc., can solve the problem that the simultaneous realization of independent monitoring and recording of abnormal conditions cannot be achieved, and achieve the effect of easy function
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specific Embodiment approach 1
[0018] Specific implementation mode one: combine figure 1 Describe this embodiment, this embodiment comprises embedded controller 1, external standard bus interface 2 and memory 3;
[0019] The embedded controller 1 includes a data preprocessing function module 11, a typical detector system model module 12, a signal processing and feature extraction algorithm module 13 and a peripheral device interface module 14;
[0020] The data preprocessing function module 11 is used to perform integrated data preprocessing of the measurement data before the obtained measurement data is identified and analyzed. The integrated data preprocessing is to extract, organize and process the obtained measurement data. transform, thereby generating preprocessed data for use by the representative detector system model module 12;
[0021] Wherein, the algorithm adopted in the integrated data preprocessing in the data preprocessing function module 11 includes linear interpolation algorithm, spline in...
specific Embodiment approach
[0034] Execute step 1: select the mode of sliding data window from data preprocessing function module 11 to carry out data integration data preprocessing; The signal that gathers is integrated in the data window that contains N=64 data points with first-in-first-out mode, The data in the data window is updated sequentially over time, but its data length remains unchanged;
[0035] Execution step 2: select a Monte Carlo model from the typical detector system model module 12, and use a model-based diagnostic algorithm to identify abnormalities;
[0036] Consider this signal has the following mathematical model:
[0037] x(k+1)=Ax(k)+Bu(k)+v(k)+f(k) (1)
[0038] Among them, the coefficient matrices A and B are known, u(k) is a known control signal, v(k) is a zero-mean white noise signal, and f(k) is an unknown fault signal. The initial value x(0) of the signal is known; the Monte Carlo model can be selected from the typical detector model library as the reference model of the s...
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