General Electric Company

Bl Technologies, Inc.

Sangeeta Balram

Sidharth Abrol

Prem Kumar Patchaikani

Mustafa Tekin Dokucu

Aditya Kumar

Prabhanjana Kalya

Zhaoyang Wan

Claudia C Pierce

Dongrui Wu

Brett R Ellis

A method for predicting an anomaly in a combustor () is presented. The method includes receiving signals representative of parameters in one or more combustion cans () of the combustor, generating a plurality of patterns based on a permutation entropy window and the signals, identifying a plurality of pattern categories in the plurality of patterns, determining a permutation entropy based on the plurality of patterns and the plurality of pattern categories, and predicting an anomaly in the combustor based on the permutation entropy. The method further includes comparing the plurality of pattern categories to determined permutations of pattern categories if the anomaly is present in the combustor, and predicting a category of the anomaly based on the comparison of the plurality of pattern categories to the determined permutations of pattern categories.

Systems and methods for predicting an anomaly in a combustor

A fault detection method for a selective catalytic reduction (SCR) system comprising an SCR reactor, includes receiving a plurality of operating parameters () of the SCR reactor from a plurality of sensors. The method also includes estimating a state of an adaptive reactor model () representative of the SCR reactor based on the plurality of operating parameters. The method also includes generating a feature parameter () based on the plurality of operating parameters and the estimated state of the adaptive reactor model. The method includes determining a fault in the SCR system () based on the feature parameter.

System and method for fault diagnosis in emission control system

A cooling tower simulation system may receive a measurement from a cooling tower sensor and generate a predicted output of a cooling tower system based on a model of the cooling tower system. The simulation system may generate an estimated output using an extended Kalman filter with the measurement and the predicted output as inputs, wherein the estimated output represents a characteristic of the cooling tower system.

Dynamic monitoring, diagnosis, and control of cooling tower systems

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Bengaluru, India

Sangeeta Balram