Uhlolojikelele
Ukulungiswa kokuqagela kusebenzisa idatha yenzwa nokufunda komshini ukuze kubikezele ukuthi umshini uzohluleka nini, ngakho-ke ungalungiswa ngaphambi nje kokuphuka esikhundleni seshejuli ehleliwe noma ngemva kokuwohloka okumba eqolo. Konga imali, kuvimbele ukungasebenzi, futhi kuthuthukise ukuphepha.
I-AI ku-Predictive Maintenance isebenzisa i-AI ezindaweni eziqondene nesizinda lapho imithetho, ukusebenza, kanye nokubekezelela ubungozi kulolonga ngokunamandla ukukhetha kwedizayini.
I-Deep Dive
Ukunakekela okuvamile kuyasebenza (kulungise ngemva kokuphuka) noma kuyavinjelwa (shintsha izingxenye zekhalenda ngaphandle kokunaka isimo). Kokubili kumosha imali - enye ngokusebenzisa isikhathi esingahleliwe, enye ngokufaka izingxenye ezinempilo esikhundleni. Predictive maintenance (PdM) ihlezi phakathi: izinzwa zisakaza idatha efana nokudlidliza, izinga lokushisa, ukukhishwa kwe-acoustic, ikhwalithi kawoyela, namandla amanje asuka kumishini, namamodeli okufunda omshini athola amaphethini acashile andulela ukwehluleka. Umgomo ofanayo ukulinganisa I-Remaining Useful Life (RUL) — ukuthi mangaki amahora noma imijikelezo ingxenye esele. Amamodeli okuthola okungaqondakali kwefulegi ukusuka kumasiginesha ajwayelekile okusebenza, kuyilapho amamodeli agadiwe aqeqeshelwe ukwehluleka komlando abikezela izinhlobo zamaphutha athile. Izimboni kusukela kwezokundiza (izinjini zejethi) kuye kumandla omoya (amabhokisi ogiya) kuye ekukhiqizeni (imishini ye-CNC) zithembele kukho, ngokuvamile ngezinzwa ze-IoT eziphakelayo amafu noma ama-edge analytics.
I-Technical Insight
Ukudlidliza isignali yehhashi lomsebenzi: i-bearing enempilo ine-spectrum yefrikhwensi ehlanzekile, kuyilapho iphutha elikhulayo lengeza izici eziphakeme kakhulu kumafrikhwensi athile. Amasu asukela ekuhlaziyweni kwe-spectral okusekelwe ku-FFT kuya kumanethiwekhi we-neural aphindaphindekayo nama-convolutional kanye nama-LSTM abonisa ukonakaliswa kochungechunge lwesikhathi. Ukutholwa okudidayo kuvame ukusebenzisa ama-autoencoder aqeqeshwe kuphela kudatha enempilo - uma iphutha lokwakha kabusha likhuphuka, kukhona okushintshile. Amamodeli akhipha isilinganiso se-RUL noma amathuba okuhluleka ngaphakathi kwewindi.
Ukufundisa i-AI ekunakekeleni okubikezelwayo
Ukulungiswa kokuqagela kusebenzisa idatha yenzwa nokufunda komshini ukuze kubikezele ukuthi umshini uzohluleka nini, ngakho-ke ungalungiswa ngaphambi nje kokuphuka esikhundleni seshejuli ehleliwe noma ngemva kokuwohloka okumba eqolo. Konga imali, kuvimbele ukungasebenzi, futhi kuthuthukise ukuphepha. I-AI ku-Predictive Maintenance isebenzisa i-AI ezindaweni eziqondene nesizinda lapho imithetho, ukusebenza, kanye nokubekezelela ubungozi kulolonga ngokunamandla ukukhetha kwedizayini. Ukuze wakhe ukuqonda okujulile, phatha i-AI ku-Predictive Maintenance njengemodeli yokusebenza, hhayi isici esisodwa: chaza imiphumela efiselekayo, ucacise ukucabanga, futhi uhlukanise lokho uhlelo olungakwenza ngokwethembeka kulokho okusadinga ukwahlulela kochwepheshe.
Empeleni, amaqembu aqinile asebenzisa i-AI ku-Predictive Maintenance aqondisa amandla obuchwepheshe nenqubomgomo yesizinda, ukucwaningwa kwamabhuku, kanye nokuthatha izinqumo okuphambili. Babhala imibandela yempumelelo ecacile, ukuhlola okuqhathaniswa nedatha engokoqobo nokugeleza komsebenzi, futhi baphindaphinde ngokusekelwe kumaphethini okuhluleka aqashiwe esikhundleni sokuwina kwebhentshimakhi yesikhathi esisodwa. Yilapho ukuqonda kwethiyori kuguquka kube amandla ahlala njalo kuwo wonke umkhiqizo, inqubomgomo, kanye nokusebenza.
Umongo womkhakha unquma ukuthi imibono ye-AI iyasinda yini ekuxhumaneni neqiniso. Ngesikhathi esifanayo, izimfuneko Zokulawula zingenza ama-prototypes aqine ngenye indlela. Indlela eqine kakhulu iwukuhlanganisa isivinini sokuhlola nesiyalo sokuphatha: qhuba abashayeli bezindiza, bamba ubufakazi, ushicilele amalogi ezinqumo, futhi ubuyekeze izivikelo ngokuqhubekayo njengoba imodeli yokuziphatha, okulindelwe ngabasebenzisi, kanye nezimfuneko zokulawula zishintsha.
I-Strategic Impact
Umongo womkhakha unquma ukuthi imibono ye-AI iyasinda yini ekuxhumaneni neqiniso.
Umongo womkhakha unquma ukuthi imibono ye-AI iyasinda yini ekuxhumaneni neqiniso. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Imikhawulo yesizinda ithonya izilinganiso zamaphutha ezamukelekayo namamodeli wokugada.
Imikhawulo yesizinda ithonya izilinganiso zamaphutha ezamukelekayo namamodeli wokugada. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Ukuthunyelwa okuphumelelayo kuqondanisa amandla obuchwepheshe nokugeleza komsebenzi okuphambili.
Ukuthunyelwa okuphumelelayo kuqondanisa amandla obuchwepheshe nokugeleza komsebenzi okuphambili. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Ukuqaliswa Komhlaba Wangempela
Izinkampani zezindiza eziqapha ukudlidliza kwenjini yejethi nezinga lokushisa ukuze zihlele ukulungiswa ngaphambi kokwehluleka endizeni, njengasezinhlelweni zezempilo zenjini ye-GE ne-Rolls-Royce
Abaqhubi bamapulazi omoya abathola i-gearbox yokuqala kanye nokuguga okuvela kuzinzwa zokudlidliza ze-turbine ukuze bagweme ukulungiswa kwe-crane ephezulu ebiza kakhulu
Amafekthri asebenzisa izinzwa ze-motor current kanye ne-acoustic kumasistimu okuthutha kanye namaphampu ukuze ahlabe umkhosi aveza ukuwohloka kwamasonto kusengaphambili.
I-Railways ihlaziya isondo futhi ilandelela idatha yenzwa ukuze ibikezele ukuguga kwengxenye futhi ivimbele ukwehluleka okubangela ukungahambi kahle
Amaphethini Okusebenzisa
I-AI ku-Predictive Maintenance ekusebenzeni
Izinkampani zezindiza eziqapha ukudlidliza kwenjini yendiza nezinga lokushisa ukuze zihlele ukulungiswa ngaphambi kokwehluleka endizeni, njengakuzinhlelo zezempilo zenjini ye-GE ne-Rolls-Royce.
Izinkampani zezindiza eziqapha ukudlidliza kwenjini yendiza kanye nezinga lokushisa ukuze zihlele ukulungiswa ngaphambi kokwehluleka kwendiza, njengasezinhlelweni zezempilo zenjini ye-GE ne-Rolls-Royce Amaqembu ngokuvamile athola imiphumela engcono uma echaza izilinganiso zekhwalithi ngaphambili, agcina indlela yokukhuphuka komuntu ezimweni ezibucayi, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-AI ku-Predictive Maintenance ekusebenzeni
Abaqhubi bamapulazi omoya abathola i-gearbox yokuqala kanye nokuguga okuvela kuzinzwa zokudlidliza ze-turbine ukuze bagweme ukulungiswa kwe-crane ephezulu ye-tower-top.
Abaqhubi bamapulazi omoya ababona ibhokisi likagiya ngaphambi kwesikhathi kanye nokugqokwa kwezinzwa zokudlidliza kwe-turbine ukuze bagweme ukulungiswa kwe-crane ebizayo ephezulu Amathimba ngokuvamile athola imiphumela engcono lapho echaza izinga eliphezulu ngaphambili, agcine indlela yokukhuphuka yomuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-AI ku-Predictive Maintenance ekusebenzeni
Amafekthri asebenzisa izinzwa zemoto zamanje kanye ne-acoustic kumasistimu okuthutha kanye namaphampu ukuze ahlabe umkhosi aveza ukonakaliswa kwamasonto kusengaphambili.
Amafekthri asebenzisa izinzwa zezimoto zamanje kanye nama-acoustic kumasistimu okuthutha kanye namaphampu ukuze ahlabe umkhosi aveza ukuwohloka kwamasonto kusengaphambili Amaqembu ngokuvamile athola imiphumela engcono lapho echaza ikhwalithi ephezulu ngaphambili, egcina indlela yokukhuphuka komuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-AI ku-Predictive Maintenance ekusebenzeni
Ojantshi besitimela bahlaziya isondo futhi balandele idatha yenzwa ukuze babikezele ukuguga kwengxenye futhi bavimbele ukwehluleka okubangela ukuchezuka.
Umzila wesitimela ohlaziya amasondo futhi ulandelele idatha yenzwa ukuze ubikezele ukuguga kwengxenye futhi uvimbele ukwehluleka okubangela ukuchezuka Amaqembu ngokuvamile athola imiphumela engcono uma echaza izilinganiso zekhwalithi ngaphambili, agcine indlela yokukhuphuka komuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
Izingozi & Guardrails
Izidingo zokulawula zingenza ama-prototypes aqine ngenye indlela.
Idatha yomlando ingase ihlanganise ukuchema okulimaza imiphakathi ethile.
Izinhlelo zefa zingakha izithiyo zokuhlanganisa kanye nezindleko ezifihliwe.
Ukuqalisa Umhlahlandlela
Bandakanya ochwepheshe besizinda kusukela ekufakeni inkinga kuye ekuhlolweni.
Bandakanya ochwepheshe besizinda kusukela ekufakeni inkinga kuye ekuhlolweni. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Dizayina izindlela zokuhlola kanye nemibhalo ngaphambi kokwethulwa.
Dizayina izindlela zokuhlola kanye nemibhalo ngaphambi kokwethulwa. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Qinisekisa ukuthobela imithetho nokuphepha kusenesikhathi.
Qinisekisa ukuthobela imithetho nokuphepha kusenesikhathi. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Khipha ngezigaba ngemibandela yokumisa ecacile neyokubuyisela emuva.
Khipha ngezigaba ngemibandela yokumisa ecacile neyokubuyisela emuva. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.