252927 Automatic Transmission AL4 DPO Switch Pressure Sensor

1. Common sensor kukanganisa nzira dzekuongorora

Nekuvandudzwa kwesainzi uye tekinoroji, nzira dze sensor fault diagnostics dziri kuwanda uye kuwanda, izvo zvinogona kuzadzisa zvinodiwa zvekushandiswa kwezuva nezuva.Kunyanya, iyo yakajairika sensor yekutadza kuongororwa nzira dzinosanganisira dzinotevera:

1.1 Model-yakavakirwa kukanganisa kuongororwa

Iyo yekutanga yakagadziridzwa modhi-based sensor fault diagnostic tekinoroji inotora analytical redundancy pachinzvimbo chekudzokororwa kwemuviri sepfungwa yayo yepakati, uye inowana ruzivo rwekukanganisa kunyanya nekuienzanisa neyakayerwa kukosha kunoburitswa neiyo fungidziro system.Parizvino, iyi tekinoroji yekuongorora inogona kukamurwa kuita zvikamu zvitatu: parameter estimation-based fault diagnosis method, state-based fault diagnostic method uye yakaenzana nzira yekuongorora nzvimbo.Kazhinji, isu tinotsanangura maitiro ezvimiro zvezvikamu zvinoumba iyo yemuviri sisitimu sechinhu paramita, uye mutsauko kana mutsauko equations inotsanangura iyo control system semodule paramita.Kana sensor iri muhurongwa ikakundikana nekuda kwekukuvara, kutadza kana kuderedzwa kwekuita, inogona kuratidzwa zvakananga sekuchinja kwezvinhu zvimiro, izvo zvinokonzeresa shanduko yemodulus parameter, ine ruzivo rwese rwekukanganisa.Pane zvinopesana, kana iyo module parameter ichizivikanwa, shanduko yeparameter inogona kuverengerwa, kuitira kuti ione saizi uye dhigirii yekukanganisa sensor.Parizvino, modhi-yakavakirwa sensor yekuongororwa tekinoroji yakashandiswa zvakanyanya, uye mhedzisiro yayo yekutsvagisa inotarisa kune mutsara masisitimu, asi tsvakiridzo yeasina mutsara masisitimu inoda kusimbiswa.

1.2 Kuziva-kwakavakirwa kukanganisa kukanganisa

Yakasiyana neiyo yambotaurwa pamusoro pekukanganisa nzira, ruzivo-yakavakirwa chikanganiso chekuongorora hachidi kugadzira masvomhu modhi, iyo inokunda kukanganisa kana kukanganisa kwemuenzaniso-based fault diagnosis, asi inoshaya seti yeyakakura yedzidziso rutsigiro.Pakati pavo, artificial neural network nzira ndiyo mumiriri weruzivo-based fault diagnosis.Iyo inodaidzwa kuti artificial neural network yakadimburirwa seANN muChirungu, iyo yakavakirwa pakunzwisisa kwevanhu kwebrain neural network uye inoona rimwe basa kuburikidza nekuvaka kwekugadzira.Artificial neural network inogona kuchengeta ruzivo nenzira yakagovaniswa, uye kuona shanduko isina mutsara uye mepu nerubatsiro rwetiweki topology uye kugovera huremu.Mukupesana, artificial neural network nzira inogadzirisa kushomeka kweiyo modhi-yakavakirwa kukanganisa kuongororwa mumasisitimu asina mutsara.Nekudaro, iyo artificial neural network nzira haina kukwana, uye inongotsamira pane dzimwe nyaya dzinoshanda, iyo isingashandisi zvinobudirira ruzivo rwakaunganidzirwa muminda yakakosha uye inopesvedzerwa zviri nyore nesarudzo yemuenzaniso, saka mhedzisiro yekuongorora inotorwa kubva mairi haisi. zvinodudzirwa.