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The vibration transmission path systems are generally composed of the vibration source, the vibration transfer path, and the vibration receiving structure. The transfer path is the medium of the vibration transmission. Moreover, the randomness of transfer path influences the transfer reliability greatly. In this paper, based on the matrix calculus,...
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Citations
... The most favourable technique for monitoring rotating mechanical systems is called vibration analysis. This analysis has been extensively applied in the machinery industry to (1) evaluate the condition of transmission components, (2) identify discrete frequencies and (3) obtain spectrum analysis (Aoki et al., 2022;Jun et al., 1992;Swansson & Favaloro, 1984;Wang et al., 2023;Zhao & Zhang, 2017). An extensive review has been done on time domain vibration analysis techniques used to monitor rolling element-bearing conditions (Prakash Kumar et al., 2022). ...
Condition monitoring has been widely established to obtain the greatest effectiveness in the predictive maintenance of complex machines and mechanical systems. It has been used to minimise operating faults and overhaul costs without affecting the system's reliability. Vibration analysis is the most favourable technique for monitoring rotating mechanical systems, such as the electric motor, flexible coupling, gearbox, centrifugal pump and bearing. This analysis has been extensively applied in the machinery industry to evaluate the condition of transmission components, identify discrete frequencies, and conduct spectrum analysis. However, vibration analysis often possesses limitations due to the complexity of the data analysis methods and interpretation of the faults. Therefore, transmission system simulation using software emerges as an alternative that eases the vibration analysis process. In this paper, the vibration analysis carried out using Mobius i-Learn vibration software shows no significant deficiency in the transmission frequencies of the machinery parts compared with the results computed from the standard formula. It can be deduced that the analytical results from Mobius i-Learn vibration simulation are reliable for detecting abnormal vibration within machinery parts, providing the optimum frequency readings which efficiently avoid the machine's faults.
Some equipment fault measurement points are difficult to determine. Thus, this study proposes a method using energy flow and transfer path to select sensitive measurement points. Firstly, based on the energy flow theory of the shell, the energy flow is taken as the physical quantity to describe the energy transfer of the structure vibration, and the energy-based transfer path analysis method is established. Secondly, the simulation model of the finite element energy flow was established by focusing on the NC turret, and the vector image of the energy flow transfer path of the NC turret shell was created. For the relationship between the vector images of the experimental and simulation energy flows, the validity of the finite element energy flow simulation results is verified. Lastly, three abnormal areas of the NC turret shell are identified by comparing and analyzing the energy flow vector images of the NC turret in the healthy and fault states, taking the poor meshing fault of the grooves as an example. By choosing nine test points in the abnormal areas and calculating the distribution rate of the transfer paths between the test points to the joint surfaces of the fluted disc, the energy flow distribution rate of the different fault positions to the test points is obtained. Calculation results enabled us to identify three measuring points that can accurately distinguish the fault location for a typical fault mode. This research combined energy flow theory and transfer path analysis method to determine the vibration fault sensitive measuring points of NC equipment. The proposed method is practical in the field of fault diagnosis and has broad application prospects.
