97% 、誤報(bào)率 <1.5% 、漏報(bào)率 <1.5% ,優(yōu)于傳統(tǒng)方法,提高了制動(dòng)盤表面缺陷識(shí)別準(zhǔn)確率。工廠試驗(yàn)表明,該方法能夠準(zhǔn)確識(shí)別幾乎全部缺陷,誤報(bào)和漏報(bào)情況較少,有較高的可靠性和穩(wěn)定性。-龍?jiān)雌诳W(wǎng)" />

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基于IGD-IHT算法和PIQEDS-IBPSO-NESN算法的制動(dòng)盤表面缺陷檢測(cè)方法

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SurfaceDefectDetection Method ofBrakeDiscsBased on the IGDIHT Algorithm and the PIQEDS-IBPSO-NESN Algorithm

Li Feng,Yu Zhen23,Gao Juan4,An Qi5 (1.Haier School (Electromechanical Schol),Qingdao Technical Collge,Qingdao 266555; 2.Institute ofOceanographic

Instrumentation,QiluUniversityofTechnology(ShandongAcademyofSciences),Qingdao266O61;3.StateKeyLaboratoryof

PrecisioMeasuringTechologyandIstrument,TianjinUniversityTianjinO2;4.ScholofIformatics,Qingdoical College,Qingdao 266555;5.Departmentof Mechanical Engineering,Tsinghua University,Beijing100084)

Abstract:To improve therobustnessof traditional brakediscsurface defeet detection,anautomaticdetection instrumentbased onmachinevisionisdesigned.Thedefectfeatures of brakediscsare extractedusing the ImprovedGaussianDiffrencealgorithmandHough Transformalgorithm(IGD-IHT).Anidentificationmethodfor brakedisc surface defectsisdesigned basedon the Perception-based Image QualityEvaluatorand DempsterruleimprovedBayesparticle swarm optimization-Nonlinear echo statenetwork to beteridentify defects.The experimental results show that accuracy of this method is more than 97% ,thefalse alarm rateisless than 1.5% and the missing alarm rate is less than 1.5% .The method described in this article is superior to traditional methodsand improves theacuracyof brakediscsurface defectrecognition.Factory testingshows thatthismethod canaccuratelyidentifyalmostall defects,and therearerelativelyfew falsepositivesor falsenegatives,and has high reliability and stability.

Keywords:Brake disc,Surface defect feature extraction,IGD-IHT algorithm,Surfacedefect identification,PIQEDS-IBPSO-NESNalgorithm

1前言

制動(dòng)盤作為汽車制動(dòng)系統(tǒng)的關(guān)鍵部件,通過(guò)摩擦保證制動(dòng)效果[1-3],一般由灰鑄鐵制成,鑄造過(guò)程中,制動(dòng)盤表面可能會(huì)出現(xiàn)沙眼、氣孔等缺陷46]。(剩余16943字)

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