黑龙江科技大学学报
黑龍江科技大學學報
흑룡강과기대학학보
Journal of Heilongjiang Institute of Science and Technology
2015年
3期
299-303
,共5页
刘春生%韩飞%任春平%王庆华%于信伟
劉春生%韓飛%任春平%王慶華%于信偉
류춘생%한비%임춘평%왕경화%우신위
镐型截齿%最大似然估计-Hilbert%侧向载荷%特征识别
鎬型截齒%最大似然估計-Hilbert%側嚮載荷%特徵識彆
호형절치%최대사연고계-Hilbert%측향재하%특정식별
conical picks%maximum likelihood estimation-Hilbert%lateral load%feature recognition
为探求镐型截齿旋转截割煤岩侧向载荷的统计规律及时频谱特性,实现其特征参量的定量提取与有效识别,利用多截齿参数可调式旋转截割实验台开展煤岩截割实验。采用最大似然估计法与希尔伯特变换Hilbert法,给出锐齿、棱齿和钝齿侧向载荷统计特征与时频谱特征的内在关联。结果表明:在截齿旋转角为零度、截槽对称的实验条件下,截齿侧向载荷概率密度函数曲线服从正态分布规律,截齿侧向载荷的方向具有明显的不确定性,绕y轴正、负半轴波动。其均值接近于零,不利于截齿的自回转运动。二维时频谱表明截割能量集中在5 Hz以内的低频区域,且可有效识别侧向载荷的时频特征。
為探求鎬型截齒鏇轉截割煤巖側嚮載荷的統計規律及時頻譜特性,實現其特徵參量的定量提取與有效識彆,利用多截齒參數可調式鏇轉截割實驗檯開展煤巖截割實驗。採用最大似然估計法與希爾伯特變換Hilbert法,給齣銳齒、稜齒和鈍齒側嚮載荷統計特徵與時頻譜特徵的內在關聯。結果錶明:在截齒鏇轉角為零度、截槽對稱的實驗條件下,截齒側嚮載荷概率密度函數麯線服從正態分佈規律,截齒側嚮載荷的方嚮具有明顯的不確定性,繞y軸正、負半軸波動。其均值接近于零,不利于截齒的自迴轉運動。二維時頻譜錶明截割能量集中在5 Hz以內的低頻區域,且可有效識彆側嚮載荷的時頻特徵。
위탐구호형절치선전절할매암측향재하적통계규률급시빈보특성,실현기특정삼량적정량제취여유효식별,이용다절치삼수가조식선전절할실험태개전매암절할실험。채용최대사연고계법여희이백특변환Hilbert법,급출예치、릉치화둔치측향재하통계특정여시빈보특정적내재관련。결과표명:재절치선전각위령도、절조대칭적실험조건하,절치측향재하개솔밀도함수곡선복종정태분포규률,절치측향재하적방향구유명현적불학정성,요y축정、부반축파동。기균치접근우령,불리우절치적자회전운동。이유시빈보표명절할능량집중재5 Hz이내적저빈구역,차가유효식별측향재하적시빈특정。
This paper is a targeted effort to investigate the statistical law and time-frequency spectrum characteristic of the side load on conical pick cutting coal and thereby achieve quantitative extraction and effective recognition these characteristic parameters. The investigation involves experiment on coal rock cutting using multi-picks parameter adjustable rotary cutting test bench; and adoption of the maximum likelihood estimation with Hilbert transformation to obtain the internal connection between the statistical law and time-frequency spectrum characteristic of sharp,blunt and edges picks. The result shows that un-der the experimental condition where the rotation angle of pick is zero and the kerf is symmetric, the curve of probability density function of side load conforms to normal distribution;the side load has obvi-ous uncertain direction and fluctuates around y axis,and has the mean value close to zero, which goes a-gainst self rotary motion. The 2D time-frequency spectrum shows that the cutting energy is concentrated in the low frequency region within 5 Hz, allowing an effective identification of the time-frequency character-istics of lateral load.