{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,7,1]],"date-time":"2023-07-01T04:28:57Z","timestamp":1688185737236},"reference-count":20,"publisher":"MDPI AG","issue":"13","license":[{"start":{"date-parts":[[2023,6,29]],"date-time":"2023-06-29T00:00:00Z","timestamp":1687996800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"Damage is the main form of conflict, and the characterization of damage information is an important component of conflict evaluation. In the existing research, damage mainly refers to the damage effect of a damage load on the target structure. However, in the actual conflict environment, damage is a complex process that includes the entire process from the initial introduction of the damage load to the target function. Therefore, in this paper, the transfer logic of the damage process is analyzed, and the damage process is sequentially divided into being discovered, being attacked, being hit, and being destroyed in succession. Specifically, first considering the multiple types of each process, the transmission of damage is likened to the flow of damage, a network model to characterize damage information based on heterogeneous network meta-path and network flow theory (HF-MCDI) is established. Then, the characteristics of damage information are analyzed based on the capacity of the damage network, the correlation of the damage path, and the importance of the damage node. In addition, HF-MCDI can not only represent the complete damage information and the transmission characteristics of the damage load but also the structural characteristics of the target. Finally, the feasibility and effectiveness of the established HF-MCDI method are fully demonstrated by the example analysis of the launch platform.<\/jats:p>","DOI":"10.3390\/s23136035","type":"journal-article","created":{"date-parts":[[2023,6,30]],"date-time":"2023-06-30T05:14:12Z","timestamp":1688102052000},"page":"6035","source":"Crossref","is-referenced-by-count":0,"title":["Characterization Method of Damage Information Based on Heterogeneous Network"],"prefix":"10.3390","volume":"23","author":[{"given":"Tong","family":"Huang","sequence":"first","affiliation":[{"name":"National Key Discipline Laboratory of Armament Launch Theory & Technology, Rocket Force University of Engineering, Xi\u2019an 710025, China"}]},{"given":"Qinhe","family":"Gao","sequence":"additional","affiliation":[{"name":"National Key Discipline Laboratory of Armament Launch Theory & Technology, Rocket Force University of Engineering, Xi\u2019an 710025, China"}]},{"given":"Zhihao","family":"Liu","sequence":"additional","affiliation":[{"name":"National Key Discipline Laboratory of Armament Launch Theory & Technology, Rocket Force University of Engineering, Xi\u2019an 710025, China"}]},{"given":"Dong","family":"Wang","sequence":"additional","affiliation":[{"name":"National Key Discipline Laboratory of Armament Launch Theory & Technology, Rocket Force University of Engineering, Xi\u2019an 710025, China"}]},{"given":"Dong","family":"Ma","sequence":"additional","affiliation":[{"name":"National Key Discipline Laboratory of Armament Launch Theory & Technology, Rocket Force University of Engineering, Xi\u2019an 710025, China"}]},{"given":"Lei","family":"Gao","sequence":"additional","affiliation":[{"name":"National Key Discipline Laboratory of Armament Launch Theory & Technology, Rocket Force University of Engineering, Xi\u2019an 710025, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,6,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"104617","DOI":"10.1016\/j.jlp.2021.104617","article-title":"Dynamic responses and damage of storage tanks under the coupling effect of blast wave and fragment impact","volume":"73","author":"Lai","year":"2021","journal-title":"J. Loss Prev. Process Ind."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1080\/15376494.2021.2006840","article-title":"Damage effect of pile wharf under underwater explosion load","volume":"30","author":"Tian","year":"2023","journal-title":"Mech. Adv. Mater. Struct."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"584","DOI":"10.1016\/j.engfailanal.2019.07.029","article-title":"Numerical simulation damage analysis of pipe-cement-rock combination due to the underwater explosion","volume":"105","author":"Guo","year":"2019","journal-title":"Eng. Fail. Anal."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1007\/s10409-021-09001-x","article-title":"Evaluating the blast mitigation performance of hard\/soft composite structures through field explosion experiment and numerical analysis","volume":"38","author":"Yang","year":"2022","journal-title":"Acta Mech. Sin."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"110203","DOI":"10.1016\/j.knosys.2022.110203","article-title":"A novel conditional weighting transfer Wasserstein auto-encoder for rolling bearing fault diagnosis with multi-source domains","volume":"262","author":"Zhao","year":"2023","journal-title":"Knowl.-Based Syst."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"109246","DOI":"10.1016\/j.ress.2023.109246","article-title":"Federated multi-source domain adversarial adaptation framework for machinery fault diagnosis with data privacy","volume":"236","author":"Zhao","year":"2023","journal-title":"Reliab. Eng. Syst. Saf."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1016\/j.cja.2021.08.010","article-title":"Synthetic damage effect assessment through evidential reasoning approach and neural fuzzy inference: Application in ship target","volume":"35","author":"Yao","year":"2022","journal-title":"Chin. J. Aeronaut."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"123649","DOI":"10.1109\/ACCESS.2020.3005687","article-title":"Deep Facial Diagnosis: Deep Transfer Learning from Face Recognition to Facial Diagnosis","volume":"8","author":"Jin","year":"2020","journal-title":"IEEE Access"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"21780","DOI":"10.1109\/JSEN.2022.3197235","article-title":"Pseudo RGB-D Face Recognition","volume":"22","author":"Jin","year":"2022","journal-title":"IEEE Sens. J."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"106974","DOI":"10.1016\/j.knosys.2021.106974","article-title":"Joint distribution adaptation network with adversarial learning for rolling bearing fault diagnosis","volume":"222","author":"Zhao","year":"2021","journal-title":"Knowl.-Based Syst."},{"key":"ref_11","first-page":"55","article-title":"Whale optimization algorithm guided by complex networks","volume":"21","author":"Triana","year":"2023","journal-title":"Int. J. Artif. Intell."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1016\/j.ins.2022.03.053","article-title":"Distributed parallel deep learning with a hybrid backpropagation-particle swarm optimization for community detection in large complex networks","volume":"600","author":"Nasser","year":"2022","journal-title":"Inf. Sci."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"547","DOI":"10.1007\/s12539-021-00454-3","article-title":"Metapath-based deep convolutional neural network for predicting miRNA-Target association on heterogeneous network","volume":"13","author":"Luo","year":"2021","journal-title":"Interdiscip. Sci. Comput. Life Sci."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1016\/j.neucom.2023.01.070","article-title":"Meta-path fusion based neural recommendation in heterogeneous information networks","volume":"529","author":"Tan","year":"2023","journal-title":"Neurocomputing"},{"key":"ref_15","first-page":"1830","article-title":"Dynamic heterogeneous network representation method based on meta-path","volume":"50","author":"Liu","year":"2022","journal-title":"Acta Electron. Sin."},{"key":"ref_16","first-page":"1223","article-title":"Improved load re-allocation strategy based on maximum residual capacity of node","volume":"41","author":"Wang","year":"2020","journal-title":"J. Northeast. Univ. (Nat. Sci.)"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1184","DOI":"10.35833\/MPCE.2021.000717","article-title":"Wind power prediction based on multi-class autoregressive moving average model with logistic function","volume":"10","author":"Dong","year":"2022","journal-title":"J. Mod. Power Syst. Clean Energy"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"5797","DOI":"10.1007\/s00170-021-08531-z","article-title":"Machining deformation analysis of aircraft monolithic components based on the energy method","volume":"119","author":"Huang","year":"2022","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"743","DOI":"10.1007\/s11280-013-0228-2","article-title":"Transitive node similarity: Predicting and recommending links in signed social networks","volume":"17","author":"Symeonidis","year":"2014","journal-title":"World Wide Web"},{"key":"ref_20","first-page":"1056","article-title":"Weighted supply chain network node importance assessment based on improved node contraction method","volume":"51","author":"Liu","year":"2018","journal-title":"J. Tianjin Univ. (Sci. Technol.)"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/23\/13\/6035\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,30]],"date-time":"2023-06-30T05:48:14Z","timestamp":1688104094000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/23\/13\/6035"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,29]]},"references-count":20,"journal-issue":{"issue":"13","published-online":{"date-parts":[[2023,7]]}},"alternative-id":["s23136035"],"URL":"https:\/\/doi.org\/10.3390\/s23136035","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,6,29]]}}}