Abnormal sound determination apparatus and determination method
In determining presence/absence of abnormal sound occurrence in a test object such as a vehicle immediately after completion of vehicle assembly, sound data of the test object during running on a rough test track is recorded and resolved into multiple frequency bands by time unit. The sound data resolved into multiple frequency bands by time unit is compared among the multiple frequency bands and correlation coefficients matrix values indicating strength of correlation between the multiple frequency bands n are calculated. Presence/absence of the abnormal sound occurrence is finally determined based on the calculated correlation coefficients matrix values.
1. An apparatus for determining presence/absence of abnormal sound occurrence in a test object, comprising:
a test sound data recording unit configured to record sound data of the test object;
a sound data time-frequency resolution unit configured to resolve the recorded sound data of the test object into multiple frequency bands by time unit;
a correlation coefficient calculation unit configured to compare the sound data resolved into multiple frequency bands by time unit among the multiple frequency bands and calculate correlation coefficients indicating strength of correlation between the multiple frequency bands; and
an abnormal sound determination unit configured to determine presence/absence of the abnormal sound occurrence based on the calculated correlation coefficients.
2. The apparatus according to claim 1 , wherein the abnormal sound determination unit is configured to calculate correlation coefficient matrices of every frequency band from the calculated correlation coefficients and to determine presence/absence of the abnormal sound occurrence based on the calculated correlation coefficient matrices.
3. The apparatus according to claim 2 , wherein the abnormal sound determination unit is configured to determine type of the abnormal sound based on the calculated correlation coefficient matrices.
4. The apparatus according to claim 1 , wherein the abnormal sound determination unit is configured to determine presence/absence of the abnormal sound occurrence by summing the calculated correlation coefficients.
5. The apparatus according to claim 4 , wherein the abnormal sound determination unit is configured to determine presence/absence of the abnormal sound occurrence based on the calculated correlation coefficients when total value of the calculated correlation coefficients exceeds a threshold value.
6. The apparatus according to claim 1 , wherein the test object is a vehicle.
7. A method for determining presence/absence of abnormal sound occurrence in a test object, comprising the steps of:
recording sound data of the test object;
resolving the recorded sound data of the test object into multiple frequency bands by time unit;
comparing the sound data resolved into multiple frequency bands by time unit among the multiple frequency bands and calculating correlation coefficients indicating strength of correlation between the multiple frequency bands; and
determining presence/absence of the abnormal sound occurrence based on the calculated correlation coefficients.
8. The method according to claim 7 , wherein the abnormal sound determination step is configured to calculate correlation coefficient matrices of every frequency band from the calculated correlation coefficients and to determine presence/absence of the abnormal sound occurrence based on the calculated correlation coefficient matrices.
9. The method according to claim 8 , wherein the abnormal sound determination step is configured to determine type of the abnormal sound based on the calculated correlation coefficient matrices.
10. The method according to claim 7 , wherein the abnormal sound determination step is configured to determine presence/absence of the abnormal sound occurrence by summing the calculated correlation coefficients.
11. The method according to claim 10 , wherein the abnormal sound determination step is configured to determine presence/absence of the abnormal sound occurrence based on the calculated correlation coefficients when total value of the calculated correlation coefficients exceeds a threshold value.
12. The method according to claim 7 , wherein the test object is a vehicle.
13. An apparatus for determining presence/absence of abnormal sound occurrence in a test object, comprising:
an electronic control unit constituted of a microcomputer equipped with at least one processor and at least one memory coupled to the processor;
wherein the processor is configured to:
record sound data of the test object;
resolve the recorded sound data of the test object into multiple frequency bands by time unit;
compare the sound data resolved into multiple frequency bands by time unit among the multiple frequency bands and calculate correlation coefficients indicating strength of correlation between the multiple frequency bands; and
determine presence/absence of the abnormal sound occurrence based on the calculated correlation coefficients.
14. The apparatus according to claim 13 , wherein the processor is configured to calculate correlation coefficient matrices of every frequency band from the calculated correlation coefficients and to determine presence/absence of the abnormal sound occurrence based on the calculated correlation coefficient matrices.
15. The apparatus according to claim 2 , wherein the processor is configured to determine type of the abnormal sound based on the calculated correlation coefficient matrices.
16. The apparatus according to claim 1 , wherein the processor is configured to determine presence/absence of the abnormal sound occurrence by summing the calculated correlation coefficients.
17. The apparatus according to claim 16 , wherein processor is configured to determine presence/absence of the abnormal sound occurrence based on the calculated correlation coefficients when total value of the calculated correlation coefficients exceeds a threshold value.
18. The apparatus according to claim 13 , wherein the test object is a vehicle.