Efficiency of application of the phase-chronometric method and neurodiagnostics for monitoring the degradation of rolling bearings during operation

2020 ◽  
pp. 43-50
Author(s):  
A.S. Komshin ◽  
K.G. Potapov ◽  
V.I. Pronyakin ◽  
A.B. Syritskii
Keyword(s):  
Life Cycle ◽  
Wavelet Analysis ◽  
Metrological Support ◽  
Rolling Bearing ◽  
Technical Condition ◽  
Measurement Information ◽  
Rolling Bearings ◽  
Vibration Diagnostics ◽  
Bearing Life ◽  
Alternative Approach

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.

scholarly journals Vibration diagnostic of electric motor roller bearings

2019 ◽  
Vol 124 ◽  
pp. 02008 ◽  
Author(s):  
N. V. Hruntovich ◽  
N. V. Hruntovich ◽  
A. A. Kapanski ◽  
I. V. Petrov ◽  
E. E. Kostyleva
Keyword(s):  
Electric Motor ◽  
Power Plants ◽  
Rolling Bearing ◽  
Technical Condition ◽  
Diagnostic Model ◽  
Rolling Bearings ◽  
Accuracy Class ◽  
Vibration Diagnostics ◽  
Bearing Defects ◽  
Asynchronous Motors

The low quality of the new rolling bearings leads to additional costs for electric motor repair, and additional expenses connected with the technological process, value of which can reach from several thousand to tens of thousand dollars. To increase detection, the reliability of rolling bearing defects of asynchronous motors, complex vibration diagnostics was used at informative frequencies in the vibration frequency and amplitude in the range of 5-5000 Hz. Based on the diagnostic model of rolling bearings the software program “Tayamnitsa” is developed, which allows to calculate the diagnostic frequency corresponding to certain defects, determine the defect level and form a diagnostic table for defects. Vibration diagnostics of new and used rolling bearings have been conducted for various regional enterprises and power plants. It has been determined that 40-50% of used bearings are removed in good technical condition. When new bearings were diagnosed in the 500-5000 Hz range, only 48.4% of the bearings are considered serviceable due to the low accuracy class of metal processing and unacceptably high vibration level.

scholarly journals Progress in rolling bearing technology for refrigerant compressors

2017 ◽  
Vol 232 (16) ◽  
pp. 2948-2961 ◽  
Author(s):  
Guillermo E Morales-Espejel ◽  
Hans H Wallin ◽  
Rudolf Hauleitner ◽  
Magnus Arvidsson
Keyword(s):  
Kyoto Protocol ◽  
Corrosion Fatigue ◽  
Rolling Bearing ◽  
Rolling Bearings ◽  
Environmental Friendly ◽  
Refrigerant Mixture ◽  
Bearing Life ◽  
Rolling Contacts ◽  
Surface Distress ◽  
New Generation

The paper describes the latest technological solutions in rolling bearings (ball and roller) used in refrigerant compressors. First, the numerous tribological challenges faced by rolling contacts in a lubricant environment made of oil and refrigerant mixture are discussed. It is followed by a description of the even tougher conditions derived by the replacement of the more chemically stable pre-Montreal and pre-Kyoto Protocol refrigerants by the new generation of more environmental friendly refrigerants. In these conditions, rolling bearings are expected to suffer from surface distress and sometimes corrosion fatigue. Thus, attempts to model these conditions by using advanced tribological models are described. Finally, descriptions of different solutions in rolling bearings in refrigerant compressors facing challenges in lubrication and bearing life are described, all the way from traditional oil–refrigerant mixture lubrication up to the latest innovation related to oil-free lubrication, namely the pure refrigerant lubrication.

Fault Diagnosis System of Rolling Bearing Based on Wavelet Analysis

2012 ◽  
Vol 166-169 ◽  
pp. 951-955 ◽  
Author(s):  
Li Na Wang ◽  
Hong Bo Wang ◽  
Yong Hui Cai ◽  
Shi Long Wang
Keyword(s):  
Fault Diagnosis ◽  
Wavelet Analysis ◽  
Friction Pair ◽  
Surface Damage ◽  
Rolling Bearing ◽  
Rolling Bearings ◽  
Diagnosis System ◽  
Stationary Signals ◽  
Diagnosis Method ◽  
Fault Diagnosis System

According to the characteristics of fault vibration of rolling bearing (non-stationary signals), a method of fault diagnosis based on wavelet analysis is put forward. In the method, the signals included faulty information of rolling bearing are decomposed and reconstructed by Matlab software, and by zoom frequency spectrum analysis, the fault information composition of the rolling bearings can be extracted effectively to determine the faulty type of the rolling bearings. Based on the above, an applicable fault diagnosis system for rolling bearing with surface damage in friction pair was developed. It has been proven by practice that the diagnosis method of system is surefire and its results are stable and reliable. Through being improved and expanded，the system can be applied to collect and analyze other vibration signals.

A Practical Method for Multi-Fault Diagnosis of Rolling Element Bearings Using Discrete Wavelet Transform and Support Vector Machine

2006 ◽  
Author(s):  
Saeed Abbasion ◽  
Anoushiravan Farshidianfar ◽  
Nilgoon Irani ◽  
Mohamad Bashari
Keyword(s):  
Support Vector Machine ◽  
Fault Diagnosis ◽  
Wavelet Analysis ◽  
Practical Method ◽  
Rolling Bearing ◽  
Support Vector ◽  
Discrete Wavelet ◽  
Good Resolution ◽  
Rolling Bearings ◽  
Time Frequency

Due to importance of rolling bearings as one of the most widely used industrial machinery elements, development of proper monitoring and fault diagnosis procedure to prevent malfunctioning and failure of these elements during operation is necessary. For rolling bearing fault detection, it is expected that a desired time-frequency analysis method have good computational efficiency, and have good resolution in both, time and frequency domain. The point of interest in this investigation is the present of an effective method for multi fault diagnosis in such systems with optimizing signal decomposition levels by using wavelet analysis and support vector machine (SVM). The system that is under study is an electric motor which has two rolling bearings, one of them is next to the output shaft and the other one is next to the fan and for each of them there is one normal form and three false forms, which make 8 forms for study. The outcome that we have achieved from wavelet analysis and SVM are fully in agreement with empirical result.

Rolling Bearing Life Prediction-Correction for Materials and Operating Conditions—Part III: Implementation in Bearing Dynamics Computer Codes

1990 ◽  
Vol 112 (1) ◽  
pp. 23-26 ◽  
Author(s):  
P. K. Gupta ◽  
T. E. Tallian
Keyword(s):  
Life Prediction ◽  
Computer Code ◽  
Rolling Bearing ◽  
Operating Conditions ◽  
Correction Factors ◽  
Rolling Bearings ◽  
Bearing Life ◽  
Computer Codes ◽  
Bearing Dynamics ◽  
Cylindrical Roller

Models for the correction of classical fatigue life for material imperfections and severity of operating conditions in rolling bearings are implemented in a bearing dynamics computer code. The significance of life correction factors is then demonstrated for both ball and cylindrical roller bearings over a range of operating conditions.

scholarly journals Measurement of vibrations occurring in rolling bearings

Mechanik ◽  
2017 ◽  
Vol 90 (8-9) ◽  
pp. 734-736
Author(s):  
Stanisław Adamczak ◽  
Mateusz Wrzochal ◽  
Paweł Zmarzły
Keyword(s):  
Rolling Bearing ◽  
Measurement Methods ◽  
Rolling Element Bearing ◽  
Vibration Measurement ◽  
Dynamic Measurements ◽  
Rolling Bearings ◽  
Life Period ◽  
Bearing Life ◽  
Rolling Element ◽  
Element Bearing

There are three criteria the vibration measurement methods as applied at each stage of the rolling-element bearing life period could be classified to. Analysis of these methods is suggested for better understanding of the rolling bearing operating problems and of the issues related to dynamic measurements.

Monitoring and diagnostics of the technical condition of the asynchronous traction motor of locomotives using artificial neural networks on the railways of the Republic of Uzbekistan

2020 ◽  
Vol 17 (4) ◽  
pp. 514-524
Author(s):  
A. V. Grishchenko ◽  
◽  
О. R. Khamidov ◽  
Keyword(s):  
Neural Networks ◽  
Practical Importance ◽  
Rolling Bearing ◽  
Technical Condition ◽  
Rolling Bearings ◽  
Frequency Spectra ◽  
Software Complex ◽  
Asynchronous Traction Motor ◽  
The Republic ◽  
Analysis Of Failures

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.

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