Zobrazeno 1 - 10
of 75
pro vyhledávání: '"C. James Li"'
Autor:
Amanda C. Lorentzian, Jenna Rever, Enes K. Ergin, Meiyun Guo, Neha M. Akella, Nina Rolf, C. James Lim, Gregor S. D. Reid, Christopher A. Maxwell, Philipp F. Lange
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-14 (2023)
Abstract Childhood acute lymphoblastic leukemia (ALL) genomes show that relapses often arise from subclonal outgrowths. However, the impact of clonal evolution on the actionable proteome and response to targeted therapy is not known. Here, we present
Externí odkaz:
https://doaj.org/article/ef6d2efa7bfe46babb83d0060edfc692
Autor:
Sukhwan Choi, C. James Li
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering. 221:465-473
Gears are common mechanical components used in power transmissions and frequently responsible for transmission failures. The aim of this study is to establish a gear crack prognostic methodology to predict the residual life of a cracked spur gear by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9d1ef641929e63d30859bc602821288
https://doi.org/10.1243/09596518jsce248
https://doi.org/10.1243/09596518jsce248
Autor:
C. James Li, Sukhwan Choi
Publikováno v:
Measurement Science and Technology. 17:2395-2400
Gears are common power transmission elements and are frequently responsible for transmission failures. Since a tooth crack is not directly measurable while a gear is in operation, one has to develop an indirect method to estimate its size from some m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0afc5fe70813eb2649d0ff368e06d6b9
https://doi.org/10.1088/0957-0233/17/9/004
https://doi.org/10.1088/0957-0233/17/9/004
Autor:
Hyungdae Lee, C. James Li
Publikováno v:
Mechanical Systems and Signal Processing. 19:836-846
This paper presents a model-based method that predicts remaining useful life of a gear with a fatigue crack. The method consists of an embedded model to identify gear meshing stiffness from measured gear torsional vibration, an inverse method to esti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4c6c8236a0cb644afdc4255d787d13b
https://doi.org/10.1016/j.ymssp.2004.06.007
https://doi.org/10.1016/j.ymssp.2004.06.007
Publikováno v:
Mechanical Systems and Signal Processing. 16:841-852
This paper describes an embedded modelling approach for identifying gear meshing stiffness from measured gear angular displacement or transmission error. An embedded model integrating a physical based model of the gearbox and a parametric representat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6b196b79da64d572e68c5f0371b7002
https://doi.org/10.1006/mssp.2001.1452
https://doi.org/10.1006/mssp.2001.1452
Autor:
C. James Li, Nicolas W. Chbat
Publikováno v:
Intelligent Automation & Soft Computing. 8:163-182
This paper establishes the utility of a real number genetic algorithm (RGA) for direct learning neural control. The controller has a hierazchical structure where the leazning algorithm, RGA, is the higher level and a feedback neural controller is the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21afe0cffc87c5a4f4b29d3088332f36
https://doi.org/10.1080/10798587.2002.10644213
https://doi.org/10.1080/10798587.2002.10644213
Autor:
Tzong-Chyi Tzeng, C. James Li
Publikováno v:
Mechanical Systems and Signal Processing. 14:945-957
The objective of this study is to establish a signal processing methodology that can infer the state of milling insert wear from translational vibration measured on the spindle housing of a milling machine. First, the tool wear signature in a transla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cac4a6850c5b0c40fb6e95c6c1104f3e
https://doi.org/10.1006/mssp.1999.1282
https://doi.org/10.1006/mssp.1999.1282
Autor:
Yimin Fan, C. James Li
Publikováno v:
Journal of Dynamic Systems, Measurement, and Control. 121:724-729
This paper describes a method to diagnose the most frequent faults of a screw compressor and assess magnitude of these faults by tracking changes in compressor’s dynamics. To determine the condition of the compressor, a feedforward neural network m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a43b98b8cf5f30907cdeef90a7a6b809
https://doi.org/10.1115/1.2802542
https://doi.org/10.1115/1.2802542
Autor:
C. James Li, Tung-Yung Huang
Publikováno v:
Applied Mathematical Modelling. 23:933-944
Automatic nonlinear-system identification is very useful for various disciplines including, e.g., automatic control, mechanical diagnostics and financial market prediction. This paper describes a fully automatic structural and weight learning method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22627f8665d28d66033446962d9a34f8
https://doi.org/10.1016/s0307-904x(99)00020-7
https://doi.org/10.1016/s0307-904x(99)00020-7
Autor:
Tung-Yung Huang, C. James Li
Publikováno v:
Journal of Dynamic Systems, Measurement, and Control. 122:354-358
This paper describes an automated localized modeling method to identify continuous nonlinear dynamic systems from their operating data. Using a method similar to finite element method’s automatic mesh generation, the input space is partitioned into
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::837c7dea3886468a610ec86f7189db17
https://doi.org/10.1115/1.482471
https://doi.org/10.1115/1.482471