MX2015007071A - Method for the combined signal processing of a flame detector. - Google Patents

Method for the combined signal processing of a flame detector.

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Publication number
MX2015007071A
MX2015007071A MX2015007071A MX2015007071A MX2015007071A MX 2015007071 A MX2015007071 A MX 2015007071A MX 2015007071 A MX2015007071 A MX 2015007071A MX 2015007071 A MX2015007071 A MX 2015007071A MX 2015007071 A MX2015007071 A MX 2015007071A
Authority
MX
Mexico
Prior art keywords
flame
signal processing
burners
optimization
combustion
Prior art date
Application number
MX2015007071A
Other languages
Spanish (es)
Inventor
Trejo Morales Antonio
Ronquillo Lomeli Guillermo
Hernandez Rosales Fernando
Coria Silva Rodolfo
Luis Sanchez Gaytan Jose
Emilio ROMERO JIMENEZ Carlos
Yao Zheng
Original Assignee
Comision Fed De Electricidad
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Comision Fed De Electricidad filed Critical Comision Fed De Electricidad
Priority to MX2015007071A priority Critical patent/MX2015007071A/en
Publication of MX2015007071A publication Critical patent/MX2015007071A/en

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Abstract

The present disclosure is related to a signal processing method for a combustion process optimization in industrial burners, which are used for the flame characterization in industrial and central furnace burners that generate energy and are fed with fossil fuels. Particularly, the present invention refers to a method for the combined signal processing from an arrangement of flame detectors and the operating data of the furnace or boiler, for the flame characterization. The method of the present invention processes the data online of an arrangement of the flame detectors combining statistical methods on linear and non-linear characteristics in the time and frequency domain and uses advanced control schemes as heuristic methods based on an artificial bee colony for the combustion optimization, Fuzzy-c Means (FCM) Artificial neural networks for the modeling of the combustion process and an expert system for advanced multivariable control routines. The flame characterization is useful in the burner’s optimization in industrial furnaces and boilers in electricity generation processes, tuning or adjustment of combustion in the burners, monitoring and programming of the burner maintenance conditions and repairs, improvements in the fuel efficiency and the reduction of harmful emissions in the chimney.
MX2015007071A 2015-06-04 2015-06-04 Method for the combined signal processing of a flame detector. MX2015007071A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
MX2015007071A MX2015007071A (en) 2015-06-04 2015-06-04 Method for the combined signal processing of a flame detector.

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
MX2015007071A MX2015007071A (en) 2015-06-04 2015-06-04 Method for the combined signal processing of a flame detector.

Publications (1)

Publication Number Publication Date
MX2015007071A true MX2015007071A (en) 2016-11-03

Family

ID=58161180

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2015007071A MX2015007071A (en) 2015-06-04 2015-06-04 Method for the combined signal processing of a flame detector.

Country Status (1)

Country Link
MX (1) MX2015007071A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113410865A (en) * 2021-05-08 2021-09-17 南昌大学 Double parallel inverter control parameter setting method based on improved artificial bee colony algorithm

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113410865A (en) * 2021-05-08 2021-09-17 南昌大学 Double parallel inverter control parameter setting method based on improved artificial bee colony algorithm
CN113410865B (en) * 2021-05-08 2022-11-08 南昌大学 Double-parallel inverter control parameter setting method based on improved artificial bee colony algorithm

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