基于支持向量機(jī)和頻域信號(hào)熵的電梯急停故障檢測方法
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中圖分類號(hào)：TP277 文獻(xiàn)標(biāo)志碼：B 文章編號(hào)：1671-5276（2025）03-0266-06
Elevator Emergency Stop Fault Detection Method Based on Support Vector Machine and Frequency Domain Signal Entropy
LI Zixiang，F(xiàn)AN Yu （Henan Special Equipment Inspection Technology Research Institute，Zhengzhou 4535Oo，China）
Abstract：Amethodfor elevator emergency stop fault detection basedonsupport vector machineandfrequencydomain signal entropyisproposedconceing thehighcomplexityof elevatoremergencystopfaultdetection.Usinganelevatorvibrationanalyzer to colectvibration signalsduring elevatoroperation，thevibration signalsaredecomposedintolow-frequencyand highfrequencycomponentfrequencybandsbydiscreteorthogonalwaveletmethod.Thedetailedsignalsandapproximatesignalsof eachflooroftheelevatorareextracted，theentropyenergyofthefrequencydomainsignalsofeachflooriscalculated，andthe signals are inputintoasupport vector machineupon normalization.Theimproved geneticalgorithm isappliedtooptimize the parametersof thesupport vector machine，obtainingtheoptimal support vector machine clasifier，achieving elevator frequency domainsignal entropyclassification，thuscompleting elevatoremergencystopfaultdetection.Teexperimentalresultsshowthat theoptimized SVMhas higherfitnessthanothermethods，withitselevatorfaultemergencystopdetectionresultsbeingconsistent withtheactualelevatoroperationnoes，andthatthemethodhasgoodapplicationeffectandefectivelyimprovestheabilityof elevator emergency stop fault detection.
Keywords：supportvectormachine；frequencydomainsignalentropy；elevatoremergencystop；faultdetection；improvedgenetic algorithm；wavelet decomposition
0 引言
電梯已成為高層建筑標(biāo)準(zhǔn)配置設(shè)施，為人們的生活提供便利[1-3]。（剩余5537字）