System for surveillance of spectral signals
First Claim
1. A method of testing a process and/or a data set 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 to provide a first signal from said at least a first source of data and a second signal from said at least a second source of data, each of said 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 and said frequency domain transformed second signal;
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 the process and/or the data set;
repeating the steps for a new incremental time position of providing frequency domain transformation data, obtaining a frequency domain difference function and operating on the frequency domain difference function by applying said 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
establishing an alarm condition by observing a characteristic interconnected point geometry along a plane intersecting points of said three-dimensional surface.
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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 SPRT sequential probability ratio test methodology applied to determine a three-dimensional surface plot characteristic of the operating state of the system under surveillance.
85 Citations
20 Claims
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1. A method of testing a process and/or a data set 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 to provide a first signal from said at least a first source of data and a second signal from said at least a second source of data, each of said 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 and said frequency domain transformed second signal;
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 the process and/or the data set;
repeating the steps for a new incremental time position of providing frequency domain transformation data, obtaining a frequency domain difference function and operating on the frequency domain difference function by applying said 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
establishing an alarm condition by observing a characteristic interconnected point geometry along a plane intersecting points of said three-dimensional surface. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A method of operating a system to test a process and/or a data set for determining a state of the system, 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 to provide a real signal from said at least one source of 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 transformed real signal and said frequency domain transformed standard signal;
operating on the frequency domain difference function using a computer for applying sequential probability ratio test analysis technique to determine a sequential probability ratio test frequency spectrum data set for the process and/or the at least one source of data;
repeating the steps for a new incremental time position of generating frequency domain transformation data, obtaining a frequency domain difference function and operating on the frequency domain difference function by applying said sequential probability ratio test 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 at least one source of data; and
establishing an alarm condition by observing a characteristic interconnected point geometry along a plane intersecting points of said three-dimensional surface. - View Dependent Claims (11, 12, 13, 14)
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15. 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 a first source of data;
providing a frequency domain transformation at a given time for said signals from said first source of data and said at least a 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 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 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;
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; and
establishing an alarm condition by observing a characteristic interconnected point geometry along a plane intersecting points of said three-dimensional surface. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification