Method for detecting local runout of a tire
View Patent ↗A raw runout signal of a tire is bandpass filtered utilizing appropriate, empirically determined, low and high tire order corners to determine the bandpass of the bandpass filter. A band-limited runout signal is then obtained and is examined for characteristic signal patterns of local runout which are known to exhibit periodically modulated cabin interior sound during vehicle movement, usually driving conditions involving highway speeds and smooth roads, which is audibly detectable by passengers based upon, for example, empirical analysis wherein the maximum gain of the bandpass filter is, preferably, unity.
1. A method for detecting local runout of a tire, comprising the steps of:
obtaining a raw runout signal of the tire;
bandpass filtering the raw runout signal to provide a band-limited runout signal; and
detecting patterns of the band-limited runout signal indicative of local runout.
2. The method of claim 1 , wherein said step of detecting comprises:
detecting maximum peak-to-peak activity in the band-limited runout signal;
comparing the maximum peak-to-peak activity with respect to a predetermined threshold to thereby detect whether the tire has local runout; and
determining whether the tire is acceptable responsive to said step of comparing.
3. The method of claim 1 , wherein said step of bandpass filtering comprises:
obtaining a sound signal of sound produced by local runout during rotation of a selected tire on a surface; and
obtaining a bandpass filter characteristic comprising determining a bandpass of a bandpass filter of the sound signal, wherein the bandpass comprises a low tire order corner and a high tire order corner of the sound signal having a predetermined gain.
4. The method of claim 3 , wherein the sound comprises “helicopter noise” defined as periodically modulated cabin interior sound produced by local runout of the selected tire during an equivalent of movement of a motor vehicle during predetermined driving conditions which is audibly detectable by an equivalent of a passenger in the cabin.
5. The method of claim 4 , wherein said step of detecting comprises:
detecting maximum peak-to-peak activity in the band-limited runout signal;
comparing the maximum peak-to-peak activity with respect to a predetermined threshold to thereby detect whether the tire has local runout which may produce the “helicopter noise”; and
determining whether the tire is acceptable responsive to said step of comparing.
6. The method of claim 4 , wherein said step of bandpass filtering further comprises:
performing a Fourier Transform of the raw runout signal;
multiplying the Fourier transformed runout signal by a Fourier Transform equivalent of the bandpass filter characteristic; and
performing an Inverse Fourier Transform of the result of said step of multiplying to thereby obtain a band-limited runout signal utilized in said step of detecting.
7. The method of claim 6 , further comprising determining whether the tire has local runout which produces the “helicopter noise”.
8. The method of claim 6 , wherein said step of obtaining a bandpass filter characteristic uses a bandpass filter comprising a digital filter employing an equivalent of forward and reverse bandpass filtering and behaving as a zero phase filter, wherein the band-limited runout signal is zero phase shifted.
9. The method of claim 8 , wherein said step of detecting comprises:
detecting maximum peak-to-peak activity in the band-limited runout signal;
comparing the maximum peak-to-peak activity with respect to a predetermined threshold to thereby detect whether the tire has local runout which may produce the “helicopter noise”; and
determining whether the tire is acceptable responsive to said step of comparing.
10. The method of claim 8 , wherein in said step of obtaining a bandpass filter characteristic, the low tire order corner is substantially the 10th tire order and the high tire order corner is substantially the 25th tire order.
11. The method of claim 10 , further comprising determining whether the tire has local runout which produces the “helicopter noise”.
12. The method of claim 10 , wherein said step of obtaining a bandpass filter characteristic uses an nth filter order Butterworth bandpass filter.
13. The method of claim 12 , wherein said step of detecting comprises:
detecting maximum peak-to-peak activity in the band-limited runout signal;
comparing the maximum peak-to-peak activity with respect to a predetermined threshold to thereby detect whether the tire has local runout which may produce the “helicopter noise”; and
determining whether the tire is acceptable responsive to said step of comparing.
14. A method for detecting local runout of a tire, comprising the steps of:
obtaining a raw runout signal of the tire;
bandpass filtering the raw runout signal to provide a band-limited runout signal, said step of bandpass filtering comprising:
obtaining a sound signal of sound produced by local runout during rotation of a selected tire on a surface;
obtaining a bandpass filter characteristic comprising determining a bandpass of a bandpass filter of the sound signal, wherein the bandpass comprises a low tire order corner and a high tire order corner of the sound signal having a predetermined gain;
performing a Fourier Transform of the raw runout signal;
multiplying the Fourier Transformed runout signal by a Fourier Transform equivalent of the bandpass filter characteristic; and
performing an Inverse Fourier Transform of the result of said step of multiplying to thereby obtain the band-limited runout signal;
detecting patterns of the signal indicative of local runout, wherein said step of detecting comprises:
detecting maximum peak-to-peak activity in the band-limited runout signal;
comparing the maximum peak-to-peak activity with respect to a predetermined threshold to thereby detect whether the tire has local runout; and
determining whether the tire is acceptable responsive to said step of comparing.
15. The method of claim 14 , wherein:
in said step of obtaining a sound signal, the sound comprises “helicopter noise” defined as periodically modulated cabin interior sound produced by local runout of the selected tire during an equivalent of movement of a motor vehicle during predetermined driving conditions which is audibly detectable by an equivalent of a passenger in the cabin; and
in said step of obtaining a bandpass filter characteristic, the low tire order corner is substantially the 10th tire order and the high tire order corner is substantially the 25th tire order.
16. A method for detecting local runout of a tire, comprising the steps of:
obtaining a raw runout signal of the tire;
bandpass filtering the raw runout signal to provide a band-limited runout signal, said step of bandpass filtering comprising:
obtaining a sound signal of sound produced by local runout during rotation of a selected tire on a surface, wherein the sound comprises “helicopter noise” defined as periodically modulated cabin interior sound produced by local runout of the selected tire during an equivalent of movement of a motor vehicle during predetermined driving conditions which is audibly detectable by an equivalent of a passenger in the cabin; and
obtaining a bandpass filter characteristic comprising determining a bandpass of a bandpass filter of the sound signal, wherein the bandpass comprises a low tire order corner and a high tire order corner of the sound signal having a predetermined gain;
detecting patterns of the signal indicative of local runout, wherein said step of detecting comprises:
detecting maximum peak-to-peak activity in the band-limited runout signal;
comparing the maximum peak-to-peak activity with respect to a predetermined threshold to thereby detect whether the tire has local runout which may produce the “helicopter noise”; and
determining whether the tire is acceptable responsive to said step of comparing.
17. The method of claim 16 , wherein said step of bandpass filtering further comprises:
performing a Fourier Transform of the raw runout signal;
multiplying the Fourier Transformed runout signal by a Fourier Transform equivalent of the bandpass filter characteristic; and
performing an Inverse Fourier Transform of the result of said step of multiplying to thereby obtain a band-limited runout signal utilized in said step of detecting.
18. The method of claim 17 , wherein said step of obtaining a bandpass filter characteristic uses a bandpass filter comprising a digital filter employing an equivalent of forward and reverse bandpass filtering and behaving as a zero phase filter, wherein the band-limited runout signal is zero phase shifted.
19. The method of claim 18 , wherein in said step of obtaining a bandpass filter characteristic, the low tire order corner is substantially the 10th tire order and the high tire order corner is substantially the 25th tire order.
20. The method of claim 19 , wherein said step of obtaining a bandpass filter characteristic uses an nth filter order Butterworth bandpass filter.