Collaborated with:X.Li Long Wen L.Wang Sican Cao Yuesheng Luo C.Lu Wenbin Song Mingzhu Lai Yanan Song Jitao Zhang Guokai Liu Z.Zhang Yiping Gao Meng Zhao Mi Xiao Kunkun Peng Quan-Ke Pan Xudong Deng C.Li
Talks about:diagnosi (3) learn (3) fault (3) base (3) unsupervis (2) algorithm (2) adversari (2) schedul (2) problem (2) network (2)
Person: Liang Gao 0001
DBLP: 0001:Liang_Gao
Contributed to:
20182019Wrote 7 papers:
- CASE-2018-CaoWLG #fault #generative #network
- Application of Generative Adversarial Networks for Intelligent Fault Diagnosis (SC, LW, XL, LG0), pp. 711–715.
- CASE-2019-LuoLLWG #multi #optimisation #problem #scheduling #using
- Green Job Shop Scheduling Problem with Machine at Different Speeds using a multi-objective grey wolf optimization algorithm* (YL, CL, XL, LW, LG0), pp. 573–578.
- CASE-2019-PengPWDLG #problem #scheduling
- Iterated Local Search for Steelmaking-refining-Continuous Casting Scheduling Problem (KP, QKP, LW, XD, CL, LG0), pp. 567–572.
- CASE-2019-SongLLSG #clustering #fault #optimisation
- A New Spectral Clustering Based on Particle Swarm Optimization for Unsupervised Fault Diagnosis of Bearings (WS, ML, XL, YS, LG0), pp. 386–391.
- CASE-2019-ZhangLGWL #algorithm #classification #learning #taxonomy
- A Shapelet Dictionary Learning Algorithm for Time Series Classification (JZ, XL, LG0, LW, GL), pp. 299–304.
- CASE-2019-ZhangLWGG #fault #learning #network #using
- Fault Diagnosis Using Unsupervised Transfer Learning Based on Adversarial Network (ZZ, XL, LW, LG0, YG), pp. 305–310.
- CASE-2019-ZhaoLGWX #flexibility
- An improved Q-learning based rescheduling method for flexible job-shops with machine failures (MZ, XL, LG0, LW, MX), pp. 331–337.