Burner flame sensing system and method

• US 5,077,550 A
• Filed: 09/19/1990
• Issued: 12/31/1991
• Est. Priority Date: 09/19/1990
• Status: Expired due to Term

• Current Assignee: Detector Electronics Corporation (Carrier Global Corporation)
• Original Assignee: Allen-Bradley Company (Rockwell Automation, Inc.)
• Inventors: Cormier, Kenneth C.
• Primary Examiner(s): Swann, III, Glen R.
• Application Number:
  US07/584,690
• Time in Patent Office: 468 Days
• Field of Search: 340/578, 431/79, 431/69, 250/554, 364/551.01, 364/554
• US Class Current: 340/578
• CPC Class Codes: F23N 2223/08 Microprocessor; Microcomputer
• CPC Class Codes: F23N 2223/10 Correlation
• CPC Class Codes: F23N 2229/08 detecting flame flicker
• CPC Class Codes: F23N 2229/22 the sensor's sensitivity being variable
• CPC Class Codes: F23N 5/082 using electronic means

Abstract

The presence of a flame from a burner is determined by analyzing the signal produced by a radiation sensor aimed at a burner. Specifically, a Fourier transformation is applied to the signal producing amplitude values for a spectrum of component frequencies produced by changes in the power of the flame over time. A logarithmic value is derived for each of the amplitude values. The degree of linearity of the distribution of the component frequency logarithmic amplitude values provides an indication of the flame presence. Several parameters, including integrated linear error, linearity regression correlation and slope difference, provide an indication of the degree of linearity. A plurality of values for each of these parameters are produced during an interval of time. When a given percentage of the parameter values are above their respective thresholds the flame is determined to be present, whereas when another given percentage of the parameter values are below their respective threshold the flame is determined to be extinguished.

Claims

1. A flame analyzer comprising:

a sensor for detecting radiation produced by a flame and producing an electrical signal indicative of the radiation;

means for converting the electrical signal into a spectrum comprising a plurality of component frequencies of the electrical signal, the component frequencies resulting from changes in power of the flame with time, and wherein each component frequency has an amplitude;

means for determining a degree of linearity of a distribution of component frequency amplitudes throughout the spectrum; and

means for determining a characteristic of the flame in response to the degree of linearity.

2. The flame analyzer as recited in claim 1 wherein said means for converting the electrical signal comprises means for performing a Fourier transformation on the electrical signal.

3. The flame analyzer as recited in claim 1 wherein said means for determining a degree of linearity comprises means for determining a difference between slopes of the distribution of component frequency amplitudes at at least two frequencies of the spectrum.

4. The flame analyzer as recited in claim 1 wherein said means for determining a degree of linearity comprises means for determining a linearity regression correlation (R) for the distribution of component frequency amplitudes as given by the expression:

##EQU4## where n is the number of component frequencies and s_i is the amplitude of a component frequency f_i.

5. The flame analyzer as recited in claim 1 wherein said means for determining a degree of linearity comprises:

means for deriving data values for a set of the component frequencies, each data value being defined by an equation of a line tangent at a given point to the distribution of component frequency amplitudes; and

means for integrating the difference between the amplitude produced by said means for converting and the data value for each member of the set of component frequencies to produce a first value indicative of the degree linearity.

6. The flame analyzer as recited in claim 5 wherein said means for determining a degree of linearity further comprises:

means for determining a difference between slopes of the distribution of component frequency amplitudes at two locations, wherein the difference is a second value indicative of the linearity of the spectrum; and

means for determining a linearity regression correlation for the distribution of component frequency amplitudes wherein the linearity regression correlation is a third value indicative of the linearity of the spectrum.

7. The flame analyzer as recited in claim 6 wherein said means for determining a characteristic of the flame comprises:

a first means for comparing a plurality of the first values to a first threshold to determine amounts of the first values that are respectively above and below the first threshold;

a second means for comparing a plurality of the second values to a second threshold to determine amounts that are respectively above and below the second threshold;

a third means for comparing a plurality of the third values to a third threshold to determine amounts that are respectively above and below the third threshold;

first means for averaging the amounts of the first, second and third values below their respective thresholds to produce a first average;

second means for averaging the amounts of the first, second and third values above their respective thresholds to produce a second average; and

means for producing an indication that the flame is extinguished when the first average exceeds a first reference value, and for producing and indication that the flame is present when the second average exceeds a second reference value.

8. An apparatus for detecting the presence of a flame comprising:

a sensor for detecting radiation produced by a flame and producing an electrical signal indicative of the radiation;

an automatic gain controlled amplifier for amplifying the electrical signal;

means for digitizing the electrical signal from said amplifier into a plurality of signal samples;

means for storing the plurality of signal samples;

means for transforming the signal samples from a time domain to a frequency domain to produce a plurality of component frequency amplitude values;

means for deriving a logarithmic value for each component frequency amplitude value of the electrical signal;

means for determining a degree of linearity of a distribution of the logarithmic values; and

means for evaluating the degree of linearity to determine whether the flame is present.

9. The flame analyzer as recited in claim 8 wherein said means for determining a degree of linearity determines a difference between slopes at two locations along the distribution of the logarithmic values.

10. The flame analyzer as recited in claim 8 wherein said means for determining a degree of linearity determines a linearity regression correlation for the distribution of the logarithmic values.

11. The flame analyzer as recited in claim 8 wherein said means for determining a degree of linearity comprises:

means for defining a line tangent to a given point along the distribution of logarithmic values; and

means for integrating a series of differences between the logarithmic values and points on the defined line thereby producing a first value indicative of the linearity of the logarithmic values.

12. The flame analyzer as recited in claim 11 wherein said means for determining a degree of linearity further comprises:

means for determining a difference between slopes at two locations on the distribution of logarithmic values to produce a second value indicative of the degree linearity; and

means for determining a linearity regression correlation for the distribution of logarithmic values to produce a third value indicative of the degree of linearity.

13. The flame analyzer as recited in claim 12 wherein means for evaluating the degree of linearity comprises:

a first means for comparing a plurality of the first values to a first threshold to determine an amount of the first values below the first threshold and an amount of the first values above the first threshold;

a second means for comparing a plurality of the second values to a second threshold to determine an amount of the second values below the second threshold and an amount of the second values above the second threshold;

a third means for comparing a plurality of the third values to a third threshold to determine an amount of the third values below the third threshold and an amount of the third values above the third threshold;

first means for averaging the amounts of the first, second and third values below their respective thresholds to produce a first average;

second means for averaging the amounts of the first, second and third values above their respective thresholds to produce a second average; and

means for producing an indication that the flame is extinguished when the first average exceeds a first reference value, and for producing and indication that the flame is present when the second average exceeds a second reference value.

14. A method for determining a characteristic of a flame comprising:

detecting radiation at a frequency produced by a flame and producing an electrical signal indicative of the radiation;

transforming the electrical signal from a time domain to a frequency domain to produce amplitude values for a plurality of component frequencies which result from shape changes of the flame with time;

determining a degree of linearity of a distribution of the amplitude values; and

employing the degree of linearity to determine a flame characteristic.

15. The method as recited in claim 14 wherein said step of transforming the electrical signal comprises performing a Fourier transformation of the electrical signal.

16. The method as recited in claim 14 wherein said step of determining a degree of linearity comprises deriving a logarithmic value for each amplitude value;

and determining a degree of linearity of a distribution of the logarithmic values.

17. The method as recited in claim 14 wherein said step of determining a degree of linearity comprises deriving a difference between slopes at two points on the distribution of the amplitude values.

18. The method as recited in claim 14 wherein said step of determining a degree of linearity comprises means for determining a linearity regression correlation for the distribution of the amplitude values.

19. The method as recited in claim 14 wherein said step of determining a degree of linearity comprises:

deriving data values for the component frequencies from an equation of a line tangent at a given point to the distribution of the amplitude values; and

integrating the differences between an amplitude value and a data value for each component frequency in a given frequency band to produce a first value indicative of the degree of linearity.

20. The method as recited in claim 19 wherein said step of determining a degree of linearily further comprises:

determining a difference between slopes at two points on the distribution of amplitude values to produce a second value indicative of the degree of linearity; and

determining a linearity regression correlation for the distribution of the amplitude values to produce a third value indicative of the degree of linearity.

21. The method as recited in claim 14 wherein said step of determining a degree of linearity comprises:

comparing a plurality of the first values to a first threshold to determine an amount of the first values that are below the first threshold and an amount of the first values that are above the first threshold;

comparing a plurality of the second values to a second threshold to determine an amount of the second values that are below the second threshold and an amount of the second values that are above the second threshold;

comparing a plurality of the third values to a third threshold to determine an amount of the third values that are below the third threshold and an amount of the third values that are above the third threshold;

averaging the amounts of the first, second and third values that are below their respective thresholds to produce a first average;

averaging the amounts of the first, second and third values that are above their respective thresholds to produce a second average; and

wherein said step of employing the degree of linearity to determine a flame characteristic produces an indication that the flame is extinguished when the first average exceeds a first reference value, and produces and indication that the flame is present when the second average exceeds a second reference value.