Fisher-rosemount Systems, Inc

Rosemount Inc.

Other

John Philip Miller

Evren Eryurek

Kadir Kavaklioglu

Ravi Kant

Nikola Samardzija

David Lyle Wehrs

Roger Kenneth Pihlaja

Marcus R Lundeberg

Tautho Hai Nguyen

Robert Carl Hedtke

David Eugene Wiklund

Andrew Juri Klosinski

Joseph Hiserodt Sharpe, Jr

Ross Charles LaMothe

Ross C Lamothe

Joseph H Sharpe

Michael Zak

Andrew J Klosinski

A furnace is monitored by monitoring a statistical variable calculated from a draft measurement and monitoring a process variable related to the operation of the furnace. An abnormal operation of the furnace is determined based upon the statistical variable and the process variable.

Flame instability monitoring with draft pressure and process variable

A casino table poker game where all cards are dealt face-up and the dealer plays a hand. Players each place an ante wager and are initially dealt a partial face-up poker hand and the dealer is dealt a complete face-up poker hand. If the dealer's poker hand meets or exceeds a kick out threshold, the dealer folds her poker hand. The kick out threshold can vary based on the number of players in the game. Then, from lowest to highest rank of partial face-up poker hands, players can fold or pay an additional wager to receive additional cards to complete their face-up poker hand. The pot is awarded to the dealer or player with the best poker hand according to a predetermined set of poker game rules.

Poker game

A sensing system includes a filter construction module that constructs a high pass filter for filtering sensor values indicative of a process variable, the filter construction module setting values for parameters of the filter based on a temperature value indicative of a temperature of the sensor that produced the sensor values.

Normalized process dynamics

A system for detecting when a plunger reaches a bottom of a well includes a pressure sensor configured to measure a pressure of the well and provide a measured pressure output. Derivative calculation circuitry calculates a derivative of the measured pressure output. Detection circuitry detects when the plunger reaches the bottom of the well based upon the calculated derivative.

Detection of position of a plunger in a well

A system and method to facilitate the monitoring and diagnosis of a process control system and any elements thereof is disclosed with a specific premise of abnormal situation prevention in a heat exchanger. Monitoring and diagnosis of faults in a heat exchanger includes statistical analysis techniques, such as regression and load following. In particular, on-line process data is collected from an operating heat exchanger. A statistical analysis is used to develop a regression model of the process. The output may use a variety of parameters from the model and may include normalized process variables based on the training data, and process variable limits or model components. Each of the outputs may be used to generate visualizations for process monitoring and diagnostics and perform alarm diagnostics to detect abnormal situations in the heat exchanger.

Abnormal situation prevention in a heat exchanger

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.

Simplified algorithm for abnormal situation prevention in load following applications including plugged line diagnostics in a dynamic process

Removable truck bed floor

In methods and systems that may facilitate detecting abnormal operation in a process plant, values of a process variable are analyzed to determine whether they significantly deviate from expected values. If there is a significant deviation, an indicator may be generated. Analyzing the process variable may include, for example, utilizing a plurality of thresholds determined based on statistics of the process variable. Analyzing the process variable may also include, for example, determining whether a first number of values of the process variable are in a first region, and whether a second number of values are in a second region.

Methods and systems for detecting deviation of a process variable from expected values

A system and method of monitoring and diagnosing on-line multivariate process variable. Multivariate process data includes multiple process variables each having a multiple observations. On-line process data is collected from a process control system when the process is on-line. The on-line process data includes multiple observations of multiple process variables. A multivariate statistical analysis represents the operation of the process based on a set of the on-line process data. The representation a result. The representation and the set of on-line process data are stored. An output is generated based on a parameter of the representation. The parameter includes a result generated by the representation of the operation of the process, a process variable used to generate the representation of the operation of the process and/or the set of collected on-line process data.

Multivariate monitoring and diagnostics of process variable data

A system for measuring flow of process fluid through process piping in an industrial process includes a flow restriction element in the process pipe. A first differential pressure transmitter is configured to measure a first differential pressure across the flow restriction element in response to flow of process fluid. A second differential pressure transmitter configured to measure a second differential pressure in the process fluid across the flow restriction element. Circuitry performs diagnostics based upon the first differential pressure and the second differential pressure.

Differential pressure based flow measurement

A digital filter design algorithm is implemented directly within a process control field device or other process related equipment. Filter design parameters are exposed so that filter design parameter values may be provided to the digital filter design algorithm so that the digital filter design algorithm may calculate digital filter coefficients for a digital filter having desired frequency response characteristics. The digital filter design parameter values may be provided by a user, or may be provided as process variable data output from a process control field device or other process related equipment. Once the coefficients of the digital filter having the desired frequency response characteristics have been calculated, the digital filter may be applied to process variable data received by the process control field device or other process related equipment.

Field device with capability of calculating digital filter coefficients

A system and method for detecting abnormal operation of a hydrocracker includes a hydrocracker model. The model may be configurable to include one or more regression models corresponding to different operating regions of the portion of the hydrocracker. The system and method may also determine if a monitored temperature difference variable deviates significantly from the temperature difference variable predicted by the model. If there is a significant deviation, this may indicate an abnormal operation.

Method and system for detecting abnormal operation in a hydrocracker

A method comprises sensing a differential pressure signal, filtering the differential pressure signal, generating a flooding indicator as a function of the filtered differential pressure signal, and indicating the onset of flooding. The differential pressure signal is sensed along a distillation flow path. The filtered differential pressure signal is responsive to a phase inversion along the flow path, and the flooding indicator is responsive to an onset of a flooding condition, based on the phase inversion. The onset of the flooding condition is indicated based on a change in the flooding indicator.

Detection of distillation column flooding

A system facilitates detecting an abnormal operation associated with a level regulatory control loop in a process plant. A model for modeling at least a portion of the level regulatory control loop may be utilized with respect to first and second signals associated with regulatory control of a level of material in a tank. The model may include a first regression model in a first range corresponding to a first operating region of the level regulatory control loop. The model may be capable of being subsequently configured to include at least a second regression model in at least a second respective range corresponding to at least a second respective operating region different than the first operating region. The model may generate a prediction of the second signal as a function of first signal. It may be determined whether the second signal significantly deviates from the prediction of the second signal generated by the model. If there is a significant deviation, this may indicate an abnormal operation associated with the level regulatory control loop.

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Eden Prairie, MN, United States of America

John Philip Miller