System for surveillance of spectral signals
First Claim
1. A method of testing at least one of a process and/or a data set and/or a data source for determining a particular condition thereof, comprising the steps of:
- collecting data from at least a first source of data and a second source of data to redundantly detect at least one variable of the process and/or the data set and/or the data source to provide a first signal from said at least first source of data and a second signal from said at least a second source of data, each of said first and second signals being characteristic of the at least one variable;
providing frequency domain transformation data for each of said first and second signals at a given time;
obtaining a frequency domain difference function characteristic of the difference pairwise for the given time between said frequency domain transformed first signal data and said frequency domain transformed second signal data;
operating on the frequency domain difference function using computer means for applying a statistical analysis technique to determine a combined statistical frequency spectrum data set for at least one of the process and/or the data source and/or the data set;
repeating for a new incremental time the steps of providing frequency domain transformation data, obtaining a frequency domain difference function and operating on the frequency domain difference function by applying the statistical analysis technique until generation of a three-dimensional surface characteristic of a combined frequency and time domain function for a particular condition of the process and/or the data set and/or the data source; and
correlating the characteristic three dimensional surface with previously stored reference state information indicative of a particular alarm state.
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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 methodology applied to determine a three-dimensional surface plot characteristic of the operating state of the system under surveillance.
34 Citations
12 Claims
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1. A method of testing at least one of a process and/or a data set and/or a data source for determining a particular condition thereof, comprising the steps of:
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collecting data from at least a first source of data and a second source of data to redundantly detect at least one variable of the process and/or the data set and/or the data source to provide a first signal from said at least first source of data and a second signal from said at least a second source of data, each of said first and second signals being characteristic of the at least one variable;
providing frequency domain transformation data for each of said first and second signals at a given time;
obtaining a frequency domain difference function characteristic of the difference pairwise for the given time between said frequency domain transformed first signal data and said frequency domain transformed second signal data;
operating on the frequency domain difference function using computer means for applying a statistical analysis technique to determine a combined statistical frequency spectrum data set for at least one of the process and/or the data source and/or the data set;
repeating for a new incremental time the steps of providing frequency domain transformation data, obtaining a frequency domain difference function and operating on the frequency domain difference function by applying the statistical analysis technique until generation of a three-dimensional surface characteristic of a combined frequency and time domain function for a particular condition of the process and/or the data set and/or the data source; and
correlating the characteristic three dimensional surface with previously stored reference state information indicative of a particular alarm state. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A method for testing a process and/or a data set of a system for determining the condition thereof, comprising:
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collecting a first signal from at least a first source of data over a monitoring time period from at least one variable of the process and/or the data set;
collecting a second signal from at least a second source of data from the process and/or the data set over the monitoring time period for comparison with said first signal from said at least first source of data;
providing a parametric transformation at a given time for said signals from said at least a first source of data and said at least a second source of data to generate transformed signals for each said first source of data and said at least a second source of data;
obtaining a difference function characteristic of the difference pairwise at the given time between said parametric transformed signals from said at least a first source of data and said at least a second source of data for the given time in the monitoring time period;
continuing said parametric transformation for a time increment for a next time in the monitoring time period to provide a three-dimensional surface of data over time and parametric space; and
applying a pattern recognition methodology to determine a three-dimensional spectrum data set characteristic of an operating condition of the at least a first data source and at least a second data source. - View Dependent Claims (10, 11)
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12. A method for testing a process and/or a data set of a system for determining the condition thereof, comprising:
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providing a first signal data from a first source of data over a monitoring time period from at least one variable of the process and/or the data set;
providing a second signal data from a second source of data from the process and/or the data set over the monitoring time period for comparison with said first signal data from said first source of data;
providing a frequency domain transformation at a given time for said signal data from said first source of data and said second source of data;
obtaining a frequency domain difference function characteristic of the difference pairwise at the given time between said frequency domain transformed signals from said first source of data and said second source of data for the given time in the monitoring time period;
continuing said frequency domain transformation for a time increment for a next time in the monitoring time period to provide a three-dimensional surface of power spectrum data over time and frequency space; and
applying a pattern recognition methodology to determine a three-dimensional spectrum data set characteristic of an operating condition of the first data source and the second data source.
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Specification