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Kafe 바로가기국가/구분 | United States(US) Patent 등록 |
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국제특허분류(IPC7판) |
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출원번호 | US-0973960 (2007-10-10) |
등록번호 | US8055479 (2011-10-25) |
발명자 / 주소 |
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출원인 / 주소 |
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대리인 / 주소 |
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인용정보 | 피인용 횟수 : 5 인용 특허 : 348 |
Systems and methods are provided for detecting abnormal conditions and preventing abnormal situations from occurring in controlled processes. Statistical signatures of a monitored variable are modeled as a function of the statistical signatures of a load variable. The statistical signatures of the m
Systems and methods are provided for detecting abnormal conditions and preventing abnormal situations from occurring in controlled processes. Statistical signatures of a monitored variable are modeled as a function of the statistical signatures of a load variable. The statistical signatures of the monitored variable may be modeled according to an extensible regression model or a simplified load following algorithm. The systems and methods may be advantageously applied to detect plugged impulse lines in a differential pressure flow measuring device.
What is claimed is: 1. A system for detecting a plugged impulse line in a process measuring device, the system comprising:a sensor for detecting a pressure in a process line, the sensor providing a pressure signal indicative of the pressure; andone or more processors implementing a first statistical
What is claimed is: 1. A system for detecting a plugged impulse line in a process measuring device, the system comprising:a sensor for detecting a pressure in a process line, the sensor providing a pressure signal indicative of the pressure; andone or more processors implementing a first statistical process monitoring (SPM) block, a second SPM block, and a plugged line diagnostic block;the first SPM block configured to calculate mean values from a plurality of pressure signal sample values collected during predefined sample windows, and the second SPM block configured to calculate standard deviation values from a plurality of pressure signal sample values collected during the predefined sample windows; andthe plugged line diagnostic block configured to mathematically model the standard deviation values as a function of corresponding calculated mean values, to predict standard deviation values based on the calculated mean values, compare predicted standard deviation values to corresponding calculated standard deviation values, and detect a plugged impulse line when a predicted standard deviation value differs from a corresponding calculated standard deviation value by more than a predefined amount.
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