{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T11:46:30Z","timestamp":1742989590849,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":20,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819958436"},{"type":"electronic","value":"9789819958443"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-981-99-5844-3_38","type":"book-chapter","created":{"date-parts":[[2023,8,30]],"date-time":"2023-08-30T22:02:16Z","timestamp":1693432936000},"page":"518-532","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Detection and Analysis of Hanging Basket Wire Rope Broken Strands Based on Mallat Algorithm"],"prefix":"10.1007","author":[{"given":"Dongyue","family":"Luo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanping","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiheng","family":"Luo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chunxue","family":"Han","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,8,31]]},"reference":[{"key":"38_CR1","doi-asserted-by":"crossref","unstructured":"Yao, Y., Li, G., Zhang, X., et al.: Research on wavelet denoising method based on soft threshold in wire rope damage detection. In: 2020 IEEE 8th International Conference on Computer Science and Network Technology (ICCSNT). IEEE (2020)","DOI":"10.1109\/ICCSNT50940.2020.9304994"},{"key":"38_CR2","doi-asserted-by":"crossref","unstructured":"Liu, S., Sun, Y., Jiang, X., Kang, Y.: A review of wire rope detection methods. sensors and signal processing techniques. J. Nondestruct. Eval. 39(4) (2020)","DOI":"10.1007\/s10921-020-00732-y"},{"key":"38_CR3","doi-asserted-by":"crossref","unstructured":"Zhang, J., Peng, F., Chen, J.: Quantitative detection of wire rope based on three-dimensional magnetic flux leakage color imaging technology. IEEE Access PP(99), 1 (2020)","DOI":"10.1109\/ACCESS.2020.2999584"},{"issue":"3","key":"38_CR4","doi-asserted-by":"publisher","first-page":"2543","DOI":"10.1109\/TIE.2020.2973874","volume":"68","author":"Z Zhou","year":"2020","unstructured":"Zhou, Z., Liu, Z.: Fault diagnosis of steel wire ropes based on magnetic flux leakage imaging under strong shaking and strand noises. IEEE Trans. Ind. Electron. 68(3), 2543\u20132553 (2020)","journal-title":"IEEE Trans. Ind. Electron."},{"key":"38_CR5","doi-asserted-by":"crossref","unstructured":"Kim, J.-W., Park, S., et al.: Magnetic flux leakage-based local damage detection and quantification for steel wire rope non-destructive evaluation. J. Intell. Mater. Syst. Struct. (2018)","DOI":"10.1177\/1045389X17721038"},{"key":"38_CR6","unstructured":"Zhao, W., Xue, T., Fan, C., et al.: Research on online detection method of wire rope damage of mine hoist. Min. Mach. 50(06), 22\u201326 (2022)"},{"key":"38_CR7","doi-asserted-by":"crossref","unstructured":"Lin, W., Liu, L.J.: Non-destructive testing of ship steel wire rope based on electromagnetic principle. In: 2019 6th International Conference on Information Science and Control Engineering (ICISCE). IEEE (2019)","DOI":"10.1109\/ICISCE48695.2019.00219"},{"key":"38_CR8","unstructured":"Sun, Y., Liu, S., He, L., et al.: A new detection sensor for wire rope based on open magnetization method"},{"issue":"2","key":"38_CR9","doi-asserted-by":"publisher","first-page":"109","DOI":"10.3390\/s18010109","volume":"18","author":"JW Kim","year":"2018","unstructured":"Kim, J.W., Park, S.: Magnetic flux leakage sensing and artificial neural network pattern recognition-based automated damage detection and quantification for wire rope non-destructive evaluation. Sensors 18(2), 109\u2013114 (2018)","journal-title":"Sensors"},{"key":"38_CR10","doi-asserted-by":"crossref","unstructured":"Li, X., Yu, L., Chen, L., et al.: Analysis of winding configurations and end magnetic leakage shielding in joint motors. In: 2019 22nd International Conference on Electrical Machines and Systems (ICEMS) (2019)","DOI":"10.1109\/ICEMS.2019.8921762"},{"issue":"06","key":"38_CR11","first-page":"28","volume":"49","author":"WJ Ma","year":"2020","unstructured":"Ma, W.J.: Non-destructive testing system of steel wire rope based on STM32F1. Electromech. Eng. Technol. 49(06), 28\u201330 (2020)","journal-title":"Electromech. Eng. Technol."},{"issue":"20","key":"38_CR12","first-page":"210","volume":"13","author":"X Lihuan","year":"2017","unstructured":"Lihuan, X., Yuanfeng, H., Wenze, D., et al.: Implementation of a high-precision data acquisition system based on AD7606. Comput. Knowl. Technol. 13(20), 210\u2013214 (2017)","journal-title":"Comput. Knowl. Technol."},{"key":"38_CR13","doi-asserted-by":"crossref","unstructured":"Wang, H., Tian, J., Li, X., et al.: Inspection of mine wire rope using magnetic aggregation bridge based on magnetic resistance sensor array. IEEE Trans. Instrum. Meas. PP(99), 1 (2020)","DOI":"10.1109\/TIM.2020.2983232"},{"key":"38_CR14","doi-asserted-by":"crossref","unstructured":"Dautov, I.P., Zerdem, M.S.: Wavelet transform and signal denoising using Wavelet method. In: 2018 26th Signal Processing and Communications Applications Conference (SIU). IEEE (2018)","DOI":"10.1109\/SIU.2018.8404418"},{"key":"38_CR15","unstructured":"Zhong, X., Chen, K.: Research on accurate identification system for small defects of wire rope based on leakage detection mechanism. Comput. Meas. Control 28(01), 195\u2013199 (2020)"},{"issue":"04","key":"38_CR16","first-page":"103","volume":"52","author":"T Jie","year":"2020","unstructured":"Jie, T., Shan, S.: Research on improved particle swarm optimized wavelet threshold for mining wire rope damage signal processing method. Coal Eng. 52(04), 103\u2013107 (2020)","journal-title":"Coal Eng."},{"key":"38_CR17","doi-asserted-by":"crossref","unstructured":"Narendra, K.G., Sood, V.K., Khorasani, K., et al.: Application of a radial basis function (RBF) neural network for fault diagnosis in a HVDC system. In: International Conference on Power Electronics, pp. 177\u2013183. IEEE (1998)","DOI":"10.1109\/59.651633"},{"key":"38_CR18","doi-asserted-by":"crossref","unstructured":"Nordgard-Hansen, E., Falconer, S., Grasmo, G.: Remaining useful life estimation of HMPE rope during CBOS testing through machine learning. Ocean Eng. 238 (2021)","DOI":"10.1016\/j.oceaneng.2021.109617"},{"key":"38_CR19","doi-asserted-by":"crossref","unstructured":"Ma, C.L., Tao, J., Hu, J.L., et al.: Research on signal processing of power with the method of improved wavelet denoising. In: 2016 5th International Conference on Computer Science and Network Technology (ICCSNT) (2016)","DOI":"10.1109\/ICCSNT.2016.8070246"},{"key":"38_CR20","unstructured":"Liu, G., Huang, Y., Zeng, Z., Cao, Y., Zhao, E., Xing, C.: Research on image denoising method based on wavelet thresholding. J. Xinxiang Coll. 38(03), 42\u201347 (2021)"}],"container-title":["Communications in Computer and Information Science","International Conference on Neural Computing for Advanced Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-99-5844-3_38","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,30]],"date-time":"2023-08-30T22:06:07Z","timestamp":1693433167000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-99-5844-3_38"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9789819958436","9789819958443"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-981-99-5844-3_38","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"31 August 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"NCAA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Neural Computing for Advanced Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hefei","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 July 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 July 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ncaa2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/dl2link.com\/ncaa2023\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easy chair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"211","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"83","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"39% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.21","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.67","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}