Research On Coal And Rock Acoustic Emission Signal Processing And Positioning Method

With the maturing of acoustic emission technology, people required for moresophisticated acoustic emission techniques in research on coal and rock damagemechanism and safety evaluation. The traditional coal and rock acoustic emissionsignal analysis methods for complex signal analysis results can not be a goodreflection of coal and rock acoustic emission sources, while research on coal and rockacoustic emission source localization method is also not deep enough. For these tworeasons, the paper acoustic emission signal analysis of coal and rock acousticemission source localization method for in-depth discussions.This article discussed the characteristics of the time domain and frequencydomain analysis of the de-noising and signal recognition method for the coal and rockacoustic emission signals, meanwhile, this paper also studied the principles of linearpositioning,plane positioning and three-dimensional positioning emission sourcelocalization based on TDOA location of the sound.This paper introduced the characteristics of the noise according to the system,Firstly, we designed and implemented a filtering noise filter and signal recognitionmethod.Secondly, we designed a method on acoustic emission characteristicparameter extraction and identified on FPGA, and the simulation results show thatthis method can efficiently utilize hardware resources to achieve the extraction ofcharacteristic parameters.And then, the paper also studied the two biggest factors that affect thepositioning accuracy: signal arrival time and how to get the velocity closest to the real.The method we used on signal arrival time and velocity measurement can effectivelyreduce the random error. Finally, we proposed a Geiger localization algorithm basedon minimum absolute deviation, this method can run effectively and overcome theshortcomings of random errors in the system, and very suitable for application to coaland rock acoustic emission source location.In order to verify the effect of signal processing and acoustic emission sourcelocalization method previously we described, we designed acoustic emission sourcelocalization system which including hardware and software co-design. The system isdesigned to monitor not only can extract8-channel acoustic emission signalparameters, but also be able to realize Geiger positioning algorithm based on theminimum deviation. Results of this study have significance for further research and development of special equipment for acoustic emission detection methods.