2021
DOI: 10.12700/aph.18.4.2021.4.9
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Proactive Maintenance Model Based on the Law on Change of Mechanical Vibration

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Cited by 6 publications
(7 citation statements)
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“…Demirtaş et al [56,57] combined recursive least squares (RLS) and forgetting factor algorithms to remove the limiting characteristics of classical perturbation observers for non-minimum phase systems. The results showed that the system stability was maintained in the presence of disturbances and time delays.…”
Section: Disturbance Observation Compensation Methodsmentioning
confidence: 99%
“…Demirtaş et al [56,57] combined recursive least squares (RLS) and forgetting factor algorithms to remove the limiting characteristics of classical perturbation observers for non-minimum phase systems. The results showed that the system stability was maintained in the presence of disturbances and time delays.…”
Section: Disturbance Observation Compensation Methodsmentioning
confidence: 99%
“…In the diagram, in addition to the correct condition (1), we also have a condition with tolerable (permissible) failure, i.e. a condition with the presence of interference (2), a condition with impermissible (non-tolerant, dangerous) failure ( 3) and a condition of system safety blocking (4).…”
Section: Reliability Modeling Of Data Transmission Systemsmentioning
confidence: 99%
“…The key goal of the proper functioning of any transport system is to reach the highest level of reliability at any stage of the transport process [1][2][3]. The main features besides the reliability of these systems is that they must be available, sustainable, safe [4][5][6] and competitive [7,8]. In order to ensure all this within the railway systems, the reliability of the DCS (data communication system) is of great importance [9].…”
Section: Introductionmentioning
confidence: 99%
“…Even the smallest voltage imbalance can cause significant motor current. [2] A. The practice of maintenance Most of the errors can be detected with the help of planned preventive maintenance.…”
Section: Introductionmentioning
confidence: 99%