Remote data analytics to predict system components or device failure
First Claim
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1. An apparatus comprising:
- a memory; and
one or more processors operably connected to the memory, the one or more processors configured to;
receive data collected from a field device or a process in a process facility system;
compute a pairwise correlation of parameters from the collected data indicating a strength and a direction of an interaction between each pair of parameters;
filter the parameters with the pairwise correlation having the strength and the direction outside of a range;
detect an anomaly based on the filtered parameters for an unsupervised failure of the field device or the process, wherein the unsupervised failure is a failure that is not monitored by alarms with an alarm;
detect a leading indicator based on the filtered parameters for a supervised failure of the field device or the process, wherein the supervised failure is a failure monitored with the alarm; and
monitor current data collected from the process facility system for the anomaly and the leading indicator before a future unsupervised failure or a future supervised failure occurs.
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Abstract
An apparatus includes a memory and one or more processors operably connected to the memory. The one or more processors are configured to receive data collected from a process facility system, detect anomalies for field device or process failures associated with the process facility system that are not monitored by alarms, detect leading indicators for field device or process failures that are monitored by alarms, and monitor the process facility system to detect further anomalies and leading indicators before failures occur.
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Citations
20 Claims
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1. An apparatus comprising:
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a memory; and one or more processors operably connected to the memory, the one or more processors configured to; receive data collected from a field device or a process in a process facility system; compute a pairwise correlation of parameters from the collected data indicating a strength and a direction of an interaction between each pair of parameters; filter the parameters with the pairwise correlation having the strength and the direction outside of a range; detect an anomaly based on the filtered parameters for an unsupervised failure of the field device or the process, wherein the unsupervised failure is a failure that is not monitored by alarms with an alarm; detect a leading indicator based on the filtered parameters for a supervised failure of the field device or the process, wherein the supervised failure is a failure monitored with the alarm; and monitor current data collected from the process facility system for the anomaly and the leading indicator before a future unsupervised failure or a future supervised failure occurs. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A method comprising:
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receiving data collected from a field device or a process in a process facility system; computing a pairwise correlation of parameters from the collected data indicating a strength and a direction of an interaction between each pair of parameters; filtering the parameters with the pairwise correlation having the strength and the direction outside of a range; detecting an anomaly based on the filtered parameters for an unsupervised failure of the field device or the process, wherein the unsupervised failure is a failure that is not monitored with an alarm; detecting a leading indicator based on the filtered parameters for a supervised failure of the field device or the process, wherein the supervised failure is a failure monitored with the alarm; and monitoring current data collected from the process facility system for the anomaly and the leading indicator before a future unsupervised failure or a future supervised failure occurs. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A non-transitory machine-readable medium encoded with executable instructions that, when executed, cause one or more processors to:
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receive data collected from a field device or a process in a process facility system; compute a pairwise correlation of parameters from the collected data indicating a strength and a direction of an interaction between each pair of parameters; filter the parameters with the pairwise correlation having the strength and the direction outside of a range; detect an anomaly based on the filtered parameters for an unsupervised failure of the field device or the process, wherein the unsupervised failure is a failure that is not monitored with an alarm; detect a leading indicator based on the filtered parameters for a supervised failure of the field device or the process, wherein the supervised failure is a failure monitored with the alarm; and monitor current data collected from the process facility system for the anomaly and the leading indicator before a future unsupervised failure or a future supervised failure occurs. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification