Monitoring for invalid data from field instruments
First Claim
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1. A sensing system comprising:
- a field instrument; and
a processing component operably coupled to the field instrument and configured to identify faults in operation of the field instrument, by;
processing data collected from the field instrument to produce a plurality of samples;
identifying a fault-indicating sample of the data using an algorithm, the algorithm configured to identify the fault-indicating sample of the data from the plurality of samples, wherein operations to perform the algorithm upon the plurality of samples include operations comprising;
performing a filtering operation on the data from the plurality of samples to generate filtered data samples for the field instrument, wherein the filtered data samples represent actual, non-simulated data measurements collected exclusively from the field instrument;
computing a mean value M and standard deviation S from the filtered data samples for the field instrument;
computing an upper control limit and lower control limit using the mean value M and standard deviation S; and
identifying the fault-indicating sample from the filtered data samples for the field instrument, the fault-indicating sample providing one or more values greater than the upper control limit or lower than the lower control limit and satisfying a set of one or more empirical rules, wherein the set of empirical rules includes a rule requiring a difference between two or more successive samples of the data measurements collected exclusively from the field instrument to exceed a threshold value; and
determining a numerical likelihood of a fault occurring in the field instrument from a combination of;
a previously determined numerical likelihood of a fault for the field instrument obtained from analysis of other data collected from the field instrument at a previous time, with a current numerical likelihood of a fault determined from processing the one or more values indicated by the fault-indicating sample of the data.
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Abstract
Processing systems and methods used to identify faults in the operation of one or more field instruments are described and shown. In one embodiment, a sensing system includes one or more field instruments and a processing component configured to process data from the field instruments. This processing may include identifying invalid samples of data using an algorithm; correlating invalid samples of data to specific field instruments; and determining a likelihood of a fault occurring on the specific field instruments. The processing may occur in real-time using an online processing technique, or with an offline processing technique on data maintained in a data store.
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Citations
13 Claims
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1. A sensing system comprising:
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a field instrument; and a processing component operably coupled to the field instrument and configured to identify faults in operation of the field instrument, by; processing data collected from the field instrument to produce a plurality of samples; identifying a fault-indicating sample of the data using an algorithm, the algorithm configured to identify the fault-indicating sample of the data from the plurality of samples, wherein operations to perform the algorithm upon the plurality of samples include operations comprising; performing a filtering operation on the data from the plurality of samples to generate filtered data samples for the field instrument, wherein the filtered data samples represent actual, non-simulated data measurements collected exclusively from the field instrument; computing a mean value M and standard deviation S from the filtered data samples for the field instrument; computing an upper control limit and lower control limit using the mean value M and standard deviation S; and identifying the fault-indicating sample from the filtered data samples for the field instrument, the fault-indicating sample providing one or more values greater than the upper control limit or lower than the lower control limit and satisfying a set of one or more empirical rules, wherein the set of empirical rules includes a rule requiring a difference between two or more successive samples of the data measurements collected exclusively from the field instrument to exceed a threshold value; and determining a numerical likelihood of a fault occurring in the field instrument from a combination of;
a previously determined numerical likelihood of a fault for the field instrument obtained from analysis of other data collected from the field instrument at a previous time, with a current numerical likelihood of a fault determined from processing the one or more values indicated by the fault-indicating sample of the data. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A processing system configured to process data collected from a plurality of field instruments, the processing system comprising:
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a processor; memory operably coupled to the processor; instructions for execution within the processing system with use of the memory and the processor, the instructions configured to; process data originating from a plurality of field instruments to produce a plurality of samples; identify multiple fault-indicating samples of the data using an algorithm applied to individual data sets, the individual data sets produced from actual, non-simulated data measurements at each respective field instrument of the plurality of field instruments, the algorithm configured to identify the fault-indicating samples of the data within the plurality of samples of the data, by detecting data changes among the plurality of samples from the data that are exceeding a maximum limit within a period of time; correlate the multiple fault-indicating samples of the data to one or more specific field instruments in the plurality of field instruments; and determine a numerical likelihood of a fault occurring in each of the one or more specific field instruments based on a combination of; values indicated by the multiple fault-indicating samples of the data, a status of the specific field instruments, and data collected from other instruments in the plurality of field instruments that are located proximate to the specific field instruments. - View Dependent Claims (11, 12, 13)
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Specification