振动与冲击
振動與遲擊
진동여충격
JOURNAL OF VIBRATION AND SHOCK
2014年
14期
84-88
,共5页
余坚%谢寿生%任立通%张子阳%王磊%王立国
餘堅%謝壽生%任立通%張子暘%王磊%王立國
여견%사수생%임립통%장자양%왕뢰%왕입국
拉杆转子装配%振动检测%矩形盒维数%多重分形%支持向量机
拉桿轉子裝配%振動檢測%矩形盒維數%多重分形%支持嚮量機
랍간전자장배%진동검측%구형합유수%다중분형%지지향량궤
assembly of rod fastening rotor%vibration detection%rectangle box dimension%multi-fractal%support vector machines
针对单个螺栓预紧变化对篦齿盘振型无影响、通过统计分析振动响应信号时频域特征亦不能有效判断拉杆转子装配状态问题,提出利用分形理论分析拉杆转子装配振动检测信号新方法。通过拉杆转子装配振动检测试验获取振动响应信号,运用分形理论分析试验结果,分别计算三种螺栓预紧状态下矩形盒维数及多重分形谱参数,利用多重分形谱参数为支持向量机特征向量对拉杆转子装配状态进行模式识别。结果表明,拉杆转子螺栓松动时,振动响应信号的盒维数会相应增加,盒维数大于1.25时转子装配不合格。结合支持向量机用多重分形谱参数预测装配状态分类结果正确率达93.7008%。
針對單箇螺栓預緊變化對篦齒盤振型無影響、通過統計分析振動響應信號時頻域特徵亦不能有效判斷拉桿轉子裝配狀態問題,提齣利用分形理論分析拉桿轉子裝配振動檢測信號新方法。通過拉桿轉子裝配振動檢測試驗穫取振動響應信號,運用分形理論分析試驗結果,分彆計算三種螺栓預緊狀態下矩形盒維數及多重分形譜參數,利用多重分形譜參數為支持嚮量機特徵嚮量對拉桿轉子裝配狀態進行模式識彆。結果錶明,拉桿轉子螺栓鬆動時,振動響應信號的盒維數會相應增加,盒維數大于1.25時轉子裝配不閤格。結閤支持嚮量機用多重分形譜參數預測裝配狀態分類結果正確率達93.7008%。
침대단개라전예긴변화대비치반진형무영향、통과통계분석진동향응신호시빈역특정역불능유효판단랍간전자장배상태문제,제출이용분형이론분석랍간전자장배진동검측신호신방법。통과랍간전자장배진동검측시험획취진동향응신호,운용분형이론분석시험결과,분별계산삼충라전예긴상태하구형합유수급다중분형보삼수,이용다중분형보삼수위지지향량궤특정향량대랍간전자장배상태진행모식식별。결과표명,랍간전자라전송동시,진동향응신호적합유수회상응증가,합유수대우1.25시전자장배불합격。결합지지향량궤용다중분형보삼수예측장배상태분류결과정학솔체93.7008%。
The change of single bolt preload makes only little difference to the vibration mode of labyrinth disc,so, the assembly state of a rod fastening rotor can not be detected effectively through the time domain and frequency domain analysis of vibration response signals.Aiming at the problem,the fractal method was adopted as a new method to analyze the assembly vibration signals of the rod fastening rotor.The vibration response signals were obtained by an assembly vibration detection test.Then the fractal theory was used to analyze the test result.And the rectangle box dimension and multi-fractal spectrum parameters of three bolt preload states were figured out.The multi-fractal spectrum parameters were applied as the feature vectors of support vector machine,by which the assembly state of the rod fastening rotor was identified.The result shows that when the bolt of rod fastening rotor looses,the box dimension of the vibration response signal will increase accordingly.When the box dimension is bigger than 1 .25 ,it shows that the rotor assembly is unqualified.When the support vector machine is used for classification,the correct ratio reaches 93.7008% while the multi-fractal spectrum is taken as the feature for assembly state prediction.