Abstract
The article observes problems of detection of rolling bearing damages in rail vehicles. Two methods of bearing damage detection are examined – according to heating of axleboxes and by vibro-diagnostic manner. The disadvantage of vibro-diagnostic method is that a contact vibration sensor is used for vibration diagnostics, intervention into rail vehicle structure is required. The method according to heating of axle-boxes also has drawbacks. The same temperature value of axle-box in various conditions may characterize different bearing technical state. The Authors studied a possibility to use temperature change intensity parameters as the diagnostics criteria. Based on the examples of axle-box temperature measurement data, Authors developed and proposed a methodology for detecting axle-box bearings defects. The Authors suggest the use the method according to heating of axle-boxes. The given example proofs that the fact of the presence of their damages can be unambiguously identified by the intensity of temperature change of the axle-boxes.
Highlights
One of the most important structural components to ensure the rail vehicle running safety of is the running gear
The technical condition of axle-box bearings has a decisive impact on the safety and smoothness of rolling stock running, and it is constantly monitored and controlled
The diagram without bearing defects (“c“ case) the vibro-diagnostic method can successfully detect defects in the axle-box bearings of rolling stock, and the frequency ranges of increase in vibration acceleration can be used to determine the type of damage
Summary
One of the most important structural components to ensure the rail vehicle running safety of is the running gear. Many technologies, such as temperature determination [22], acoustic analysis [24], acoustic emission technology [1] and vibrational signal analysis [25] have been investigated for many years to detect damage to the axle-box bearing [7] For this purpose can be applied online conduction monitoring of rolling stock wheels and axle bearing [16] or Rolling Element Bearing Activity Monitoring [5]. Recent studies have shown that measurement systems installed onboard are more likely to detect an axle-box bearing fault, especially at an early stage of evolution [17]. This is due to the fact that the sensors are closer to the axle bearing and to the source of the arising signal. The formulas for calculating these specific frequencies are [6]: BPFI
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