Papers by Zhirou Li

Title:	Modeling of A Bearing Test Bench and Analysis of Defect Bearing Dynamics in Modelica
Authors:	Diwang Ruan, Zhirou Li and Clemens Gühmann
Abstract:	In data-driven bearing fault diagnosis, sufficient fault data is fundamental for algorithm training and validation, however, in most industry applications, only very few fault measurements can be provided, which brings bearing dynamics model as an alternative of experimental test bench to produce bearing response under defects. In this paper, a Modelica model for the whole bearing test rig was built, including test bearing, driving motor and hydraulic loading system. For the test bearing, a 5 degree-of-freedom (5-DoF) model was proposed to identify the normal bearing dynamics, and a fault model was employed to characterize defect position, defect size, defect shape and multiple defects. Theory and process to implement the virtual bearing test bench in Modelica were detailed, and 3 cases were conducted to validate the effectiveness of the proposed model.
Keywords:	Bearing Diagnosis, Fault Modeling, Modelica, Bearing Test Bench
Paper:	full paper
Bibtex:	@InProceedings{modelica.org:Ruan:2021, title = "{Modeling of A Bearing Test Bench and Analysis of Defect Bearing Dynamics in Modelica}", author = {Diwang Ruan and Zhirou Li and Clemens G\"uhmann}, pages = {373--382}, doi = {10.3384/ecp21181373}, booktitle = {Proceedings of the 14th International Modelica Conference}, location = {Link\"oping, Sweden}, editor = {Martin Sj\"olund and Lena Buffoni and Adrian Pop and Lennart Ochel}, isbn = {978-91-7929-027-6}, issn = {1650-3740}, month = sep, series = {Link\"oping Electronic Conference Proceedings}, number = {181}, publisher = {Modelica Association and Link\"oping University Electronic Press}, year = {2021} }