System for surveillance of spectral signals
First Claim
1. A method of operating a system to test an industrial process and/or industrial data set for determining a state of the industrial process and/or industrial data set, comprising the steps of:
- monitoring at least one source of industrial data provided to the system to detect at least one variable of the industrial process and/or industrial data set to provide a real signal from said at least one source of industrial data;
generating a standard signal which is characteristic of the at least one variable;
generating frequency domain transformation data for said real signal and said standard signal for a given time;
obtaining a frequency difference function characteristic of the difference pairwise at the given time between said frequency domain transformation data for said real signal and said standard signal;
operating on the frequency difference function using a computer for applying a sequential probability ratio probabilistic test analysis technique to determine a sequential probability ratio test frequency spectrum data set for the industrial process and/or the at least one source of industrial data set and/or the industrial data; and
repeating the step of generating frequency domain transformation data for a new incremented time position until generation of a three-dimensional surface in frequency, time and alarm state space characteristic of a particular condition of the industrial process and/or the industrial data set and/or the at least one source of industrial data, where the z axis shows when an alarm alert state is present.
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Accused Products
Abstract
A method and system for monitoring at least one of a system, a process and a data source. A method and system have been developed for carrying out surveillance, testing and modification of an ongoing process or other source of data, such as a spectroscopic examination. A signal from the system under surveillance is collected and compared with a reference signal, a frequency domain transformation carried out for the system signal and reference signal, a frequency domain difference function established. The process is then repeated until a full range of data is accumulated over the time domain and a Sequential Probability Ratio Test (“SPRT”) methodology applied to determine a three-dimensional surface plot characteristic of the operating state of the system under surveillance.
25 Citations
20 Claims
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1. A method of operating a system to test an industrial process and/or industrial data set for determining a state of the industrial process and/or industrial data set, comprising the steps of:
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monitoring at least one source of industrial data provided to the system to detect at least one variable of the industrial process and/or industrial data set to provide a real signal from said at least one source of industrial data; generating a standard signal which is characteristic of the at least one variable; generating frequency domain transformation data for said real signal and said standard signal for a given time; obtaining a frequency difference function characteristic of the difference pairwise at the given time between said frequency domain transformation data for said real signal and said standard signal; operating on the frequency difference function using a computer for applying a sequential probability ratio probabilistic test analysis technique to determine a sequential probability ratio test frequency spectrum data set for the industrial process and/or the at least one source of industrial data set and/or the industrial data; and repeating the step of generating frequency domain transformation data for a new incremented time position until generation of a three-dimensional surface in frequency, time and alarm state space characteristic of a particular condition of the industrial process and/or the industrial data set and/or the at least one source of industrial data, where the z axis shows when an alarm alert state is present. - View Dependent Claims (2, 3, 4, 5)
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6. An apparatus for monitoring a periodic signal representing state of operation of a system, comprising:
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data storage for storing mean and variance information which is a variable for each of selected intervals of said periodic signal; a data acquisition module for receiving successive instances of said periodic signal; and a testing module disposed to perform a sequential probability ratio test on each of at least some said selected intervals of said periodic signal, over said successive instances, using said mean and variance information specific to each of said selected intervals, and said testing module for determining the state of operation of the system. - View Dependent Claims (7, 8)
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9. An apparatus for monitoring a periodic signal representing state of operation of a system, comprising:
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data storage for storing mean and variance information for selected intervals of said periodic signal; and a testing module coupled to said data storage, disposed to perform a sequential probability ratio test for a sequence of at least some adjacent said selected intervals of said periodic signal, using said mean and variance information specific to each of said selected intervals, and said testing module for determining the state of operation of the system. - View Dependent Claims (10)
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11. A method of operating a system to test a process and/or data set for determining a state of the system and a potential alarm state, comprising the steps of:
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monitoring at least one source of data of the system to detect at least one variable of the process and/or the data set to provide a real signal from said at least one source of data; providing mean and variance information which is a function along selected intervals of the real signal; generating a standard signal which is characteristic of the at least one variable; generating frequency domain transformation data for the real signal and the standard signal for a given time along the selected intervals, and generating a three dimensional shape from frequency, time and alarm state characteristic of the state of the system; and using the three dimensional shape of the frequency, time and alarm state to monitor the state of the system for the potential alarm state. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
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Specification