ROLLING BEARING TECHNICAL CONDITION FORECASTING USING VIBRATION ACCELERATION OVERALL LEVEl

2020 ◽  
pp. 12-19
Author(s):  
Yu. V. Sarapulov ◽  
V. A. Sidorov ◽  
A. E. Sushko ◽  
R. A. Khasanov

Traditionally, the assessment of changes in the technical condition of individual components and mechanisms of rotation machines in industry is associated with trends analysis of various vibration parameters. Over the decades of using vibration analysis, we have accumulated extensive experience in faults locating and critically determining, however, it is the assessment of the remaining life that regulates the timing of maintenance and repair activities that is of great practical importance. This article uses the example of a pump unit rolling bearing to consider approaches to predicting the growsup stage of defects based on the analysis of values of vibration acceleration levels. The stages of normal operation and other stages of bearing damage are highlighted, threshold values are calculated and dependences of changes in diagnostic criteria for each stage of the life cycle are constructed. The obtained dependencies show results that are similar in general, but individual in their values, therefore, the accumulation of possible scenarios of events allows creating a knowledge base for predicting the behavior of a mechanical system. The necessary tools for multifactor forecasting were implemented within the SAFE PLANT software platform (LLC SPA DIATECH, Moscow) and are successfully applied at Uralkali PJSC for monitoring the technical condition of all technological equipment and managing MRO processes by integrating the results of diagnostics and forecast assessments into the ORACLE corporate system.

2015 ◽  
Vol 742 ◽  
pp. 147-149
Author(s):  
Li Huo

Rolling bearing is an important part of rotating machinery. Its failure will directly affect the normal operation of the whole machinery. This study proposed an intelligent diagnosis model based on Fuzzy support vector description for the quantitative identification of bearing fault. The proposed model constructs the spherically shaped decision boundary by training the features of normal bearing data, and then calculates the fuzzy monitoring coefficient to identify the bearing damage.


The article shows the possibility of using a mathematical model of a bearing with various types of defects for machine learning of the vibration diagnostic system. A plane geometric model of a radial bearing with two degree of freedom is considered in detail, a system of differential equations describing the nature of the motion of moving masses in the mechanical bearing system is presented. A formula is obtained for calculating the total kinematic disturbance, the calculation of which is associated with significant computational costs. The article proposes an alternative calculation method, namely, modeling the profile of kinematic disturbances in the time domain, which will minimize computational costs. The adequacy of the proposed method is confirmed by calculations in Matlab and comparison with experimental data. The development of equipment maintenance systems for the actual technical condition is relevant as in the case of operation of facilities of increased danger Gerike, and in the case of the operation of expensive equipment Pisarev and Vaganov, where the diagnosis with disassembling the machine leads to large financial losses. Diagnostics of equipment by vibration parameters allows fixing defects in the early stages during normal operation without the need to disassemble the units and take them out of service.


2021 ◽  
Vol 30 (1) ◽  
pp. 88-99
Author(s):  
V. Popov ◽  
◽  
A. Popova ◽  

The article contains a finite element modeling of the stress-strain state of metal constructions of the foreign manufactured ships loader’s engine room, located in the seaport of Yuzhny’s town under the jibs lifting and lowering drive vibration source. The model have been developed taking into account the technical condition of the structure, which were determined after visual and instrumental examination. Have been researched the rotating structures of jibs lifting and lowering drive, means of ensuring smooth start and soft stop of the drive, have been increased the specific drive imperfections. Have been done the cinematic and dynamic calculations on a subject of definition of vibration parameters of rotation components of drive (electric motor, spur gear, gear, brace and rope drums). Have been offered the effective methods of experimental research, which including the scheme of installations of sensors at the structure of support frame of engine room, experimental measurements of vibration characteristics (vibration, amplitude, vibration velocity, vibration acceleration) and its mathematical processing. Have been done the comparison of the theoretical forced vibrations frequency of structural units of ships loader with experimentally determined data and localization of the most dangerous source of vibration. Have been revealed the main reason of excess vibration the structure of ships loader which are reduced rigidity of drive support frame which has been damaged from corrosion and consequently, resonance of rotational drive components with natural oscillations of ships loader structures. Have been developed the method of strengthening of structures of engine room, which have been damaged from corrosion during long term operation for the reduction of vibration intensity and for the further normal operation.


2020 ◽  
Vol 17 (4) ◽  
pp. 514-524
Author(s):  
A. V. Grishchenko ◽  
◽  
О. R. Khamidov ◽  

Objective: Diagnostics of malfunctions of rolling bearings of an asynchronous traction electric motor (ATEM) of locomotives using artifi cial neural networks. Methods: To control and diagnose the technical condition of the ATEM bearing units of locomotives, a hardware-software complex and data analysis methods are used. Results: We investigated the malfunctions of the ATEM rolling bearing of locomotives. The analysis of failures of locomotive bearing units is carried out. Vibration and current signals and the corresponding frequency spectra of an ATEM operating under normal conditions and with various bearing faults are considered. A model for assessing the technical condition of rolling bearings of locomotives has been developed, and the importance of anticipatory diagnostics has been substantiated, which makes it possible to identify defects in advance at the earliest stage of their development. Practical importance: The results of the research can be used in the system for diagnosing the technical condition of rolling bearings of traction electric motors of locomotives in real time.


2020 ◽  
pp. 43-50
Author(s):  
A.S. Komshin ◽  
K.G. Potapov ◽  
V.I. Pronyakin ◽  
A.B. Syritskii

The paper presents an alternative approach to metrological support and assessment of the technical condition of rolling bearings in operation. The analysis of existing approaches, including methods of vibration diagnostics, envelope analysis, wavelet analysis, etc. Considers the possibility of applying a phase-chronometric method for support on the basis of neurodiagnostics bearing life cycle on the basis of the unified format of measurement information. The possibility of diagnosing a rolling bearing when analyzing measurement information from the shaft and separator was evaluated.


2019 ◽  
Vol 302 ◽  
pp. 01011
Author(s):  
Marcin Łukasiewicz ◽  
Michał Liss ◽  
Natalia Dluhunovych

The paper presents the possibilities of using vibroacoustic methods in the study of the technical condition of designed multimedia mobile scenes. In particular, the possibility of implementing modal analysis methods in modelling and diagnostic research process has been presented. The use of virtual methods enables diagnostic tests both at the design stage and at the stage of normal operation, whereas modal methods help to explain the nature of the work of the element under investigation.


2021 ◽  
Vol 18 (3) ◽  
pp. 410-420
Author(s):  
Vladimir N. KAVKAZKY ◽  
◽  
Yana V. MEL’NIK ◽  
Alexey P. LEIKIN ◽  
Andrey V. BENIN ◽  
...  

Objective: Chirkeyskaya HPP is by far the most powerful hydroelectric power plant in the North Caucasus with the highest arched dam in Russia and the second highest dam in the country after the Sayano-Shushenskaya HPP. This explains why it is called the pearl of the Caucasus. Methods: For the operation and maintenance of this unique structure, a large-scale complex of underground structures for various purposes was built, the technical condition of which must be constantly monitored. To carry out work on the survey of underground structures, the management of the design and survey institute of JSC “Lengidroproekt” decided to attract specialists from the Department of Tunnels and Subways and the Test Center “Strength” of Emperor Alexander I Petersburg State Transport University. The work was successfully carried out at the end of 2015. Results: The safety of underground structures was objectively assessed. Recommendations for the repair and further comprehensive reconstruction of the Chirkeyskaya HPP have been developed. Practical importance: Carry out work on the survey of underground structures of Chirkeyskaya HPP is allowes elaborate of complex measures on safety from Chirkeyskaya HPP.


Author(s):  
A.V. Golenishev ◽  
A.V. Nadezkin ◽  
M.E. Starchenko

Рассматриваются подходы по определению пороговых значений концентрации продуктов износа в отработанном цилиндровом масле, характеризующие переход объекта диагностирования судового крейцкопфного дизеля из одного технического состояния в другое. Показано, что существующие методики не учитывают индивидуальные особенности и техническое состояние деталей цилиндропоршневой группы. Предложено для решения задачи их трибодиагностики использовать разработанную имитационную модель, позволяющую провести моделирование процесса изнашивания цилиндровой втулки и поршневых колец судового дизеля и на основании полученных расчетов определить концентрацию продуктов износа поступивших в отработанное цилиндровое масло при различной скорости изнашивания трущихся деталей. Данные о фактической концентрации продуктов износа в отработанном цилиндровом масле в дальнейшем соотносятся с результатами моделирования, что позволяет оценить техническое состояние деталей цилиндропоршневой группы двигателя. Представлены результаты моделирования по определению пороговых значений концентрации продуктов износа в отработанном цилиндровом масле, характеризующее переход судового дизеля из исправного в несправное техническое состояние. Даны практические рекомендации по выбору пороговых значений содержания продуктов износа в отработанном цилиндровом масле для различных типов судовых крейцкопфных дизелей и условий их эксплуатации.The article examines approaches to determine the threshold values of the concentration of wear debris in used cylinder oil that characterize the transition of a ship crosshead diesel engine unit under test from one technical condition to another. It is shown that the existing methods do not take into account the individual characteristics and technical condition of the parts of the cylinder-piston group. To solve the problem of tribodiagnostics, it is proposed to use the developed simulation model, which allows modeling the wear process of the cylinder bushing and piston rings of a marine diesel engine and, based on the obtained results, determining the concentration of wear products issued in the used cylinder oil at different wear rates of the moving parts. The data on the actual concentration of wear products in the used cylinder oil are subsequently correlated with the simulation model results, which makes it possible to evaluate the technical condition of the parts of the engine cylinder-piston group. The article presents the results of modeling of threshold values determination of the concentration of wear products in used cylinder oil, that measure the transition of a marine diesel engine from a working condition to a malfunctioning technical condition. Practical recommendations are given on choosing threshold values for the concentration of wear products in used cylinder oil for various types of marine crosshead diesel engines and their operating conditions.


The authors have studied the process of gear shifting, smoothness of it and peculiarities of automatic gearbox functioning of during car operation. The article describes the urgency of the problem of jerks and vibrations when changing gears. When assessing the smoothness of gear shifting, the method of technical state vibroacoustic diagnostics is applied. The method is based on the recorded parameters of vibration velocity, vibration acceleration, vibration movement with their further conversion (fast Fourier transform) into a spectralsignal. The procedure of longitudinal vibration acceleration measurements on cars in operation is described. A comparative analysis of the smoothness of gear shifting in an automatic transmission was carried out using the example of modern passenger cars. Keywords car; car operation; automatic gearbox; technical condition; gearbox malfunction; smoothness; jerks; jolts; gear shift quality criteria; vibration acceleration


Author(s):  
Yuriy P. BORONENKO ◽  
◽  
Aleksandr V. TRET’YAKOV ◽  
Rustam V. RAKHIMOV ◽  
Mariya V. ZIMAKOVA ◽  
...  

Objective: To develop the method to monitor the technical condition of the railway track. Me-thods: A strain-gauge wheel pair is used for continuous recording of vertical and lateral interaction forces in a dynamic wheel–rail system. Results: Stability margin factors of a wagon relative to de-railment have been determined and the defective (prone to derailment) sections of a railway track have been identified with the exact identification of their location (GPS coordinates) on the map using navigation devices. Practical importance: The developed monitoring method makes it possi-ble to promptly re¬gister and eliminate railway track defects


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