Research and Analysis on Power Transmission Processing of Herringbone Gear Trains System with Rolling Bearing Support

2014 ◽  
Vol 50 (3) ◽  
pp. 25 ◽  
Author(s):  
Feng WANG
Keyword(s):  
Power Transmission ◽  
Rolling Bearing ◽  
Gear Trains ◽  
Herringbone Gear

Analysis System of Marine Planetary Gear Trains

2011 ◽  
Vol 86 ◽  
pp. 55-58 ◽  
Author(s):  
Geng Liu ◽  
Shan Chang ◽  
Li Yan Wu ◽  
Ying Sheng Li
Keyword(s):  
Dynamic Characteristics ◽  
Power Transmission ◽  
Planetary Gear ◽  
Gear Train ◽  
Static And Dynamic Characteristics ◽  
The Past ◽  
Planetary Gear Trains ◽  
Gear Trains ◽  
Analysis System ◽  
Herringbone Gear

Planetary gear train (PGT) with herringbone gears is one of typical transmission styles used in marine power transmission. How to effectively design a PGT with lighter structures and lower vibration and noise is a fatal task for heavily loaded marine gearing. An analysis system which was developed in the past decades is introduced in this paper to simulate the performance of planetary herringbone gear trains. The effects of main crucial parameters on the static and dynamic characteristics of planetary herringbone gear trains are studied by using the analysis system. The results are discussed and show that the presented system is effective and can be used in design of planetary herringbone gear trains.

scholarly journals AOC-OPTICS: Automatic Online Classification for Condition Monitoring of Rolling Bearing

Processes ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. 606
Author(s):  
Hassane Hotait ◽  
Xavier Chiementin ◽  
Lanto Rasolofondraibe
Keyword(s):  
Power Transmission ◽  
Rolling Bearing ◽  
Extraction Methods ◽  
Exponential Model ◽  
Essential Elements ◽  
Online Classification ◽  
Internal Parameters ◽  
Essential Components ◽  
Online Implementation

Bearings are essential components in rotating machines. They ensure the rotation and power transmission. So, these components are essential elements for industrial machines. Thus, real-time monitoring is required to detect a possible anomaly, diagnose the failure of rolling bearing and follow its evolution. This paper presents a methodology for automatic online implementation of fault diagnosis of rolling bearings, by AOC-OPTICS (automatic online classification monitoring based on ordering points to identify clustering structure, OPTICS). The algorithm consists of three phases namely: initialization, detection and follow-up. These phases use the combination of features extraction methods, smart ranking, features weighting and classification by the OPTICS method. Two methods have been integrated in the dimension reduction step to improve the efficiency of detection and the followed of the defect (relief method and t-distributed stochastic neighbor embedding method). Thus, the determination of the internal parameters of the OPTICS method is improved. A regression model and exponential model are used to track the fault. The analytical simulations discuss the influence of parameters automation. Experimental validation shows detection with 100% accuracy and regression models of monitoring reaching R 2 = 0.992 .

scholarly journals Auto Gear Teeth Burnishing Machine Using Servo Control

2021 ◽  
pp. 01-09
Author(s):  
Ms. Prachi Sanjay Wategaonkar
Keyword(s):  
Power Transmission ◽  
Servo Control ◽  
Programmable Logic ◽  
Tight Control ◽  
Gear Noise ◽  
Gear Teeth ◽  
Servo Mechanism ◽  
Gear Trains ◽  
Machine Interface ◽  
Prevention Methods

A typical vehicle transmission is comprised of between five and six gear sets and a series of gear trains that allows a driver to control how much power is delivered to the vehicle without changing how fast the engine runs. This transmission makes noise such as burrs, nicks, high points and heat treat scales are the leading causes of noise in power transmission. There are many different causes of gear noise, all of them theoretically preventable. Unfortunately, the prevention methods can be costly, both in equipment and manpower. If the design of the gear and its application are appropriate, in theory all that is necessary is to have a tight control on the process of producing the finished gear. In reality, there are many variables that can cause a process, no matter how well-controlled, to deteriorate, and thus cause errors, some of which will cause a gear to produce unwanted noise when put to use. The effective way to eliminate this noise the process known as "Gear Burnishing". The proposed system uses gear shaving cutter as a master for burnishing or deburring operation of gear teeth with servo mechanism (includes servo motor and servo drivers), Programmable logic controller (PLC), Human machine interface (HMI) to remove gear inaccuracies and so as to reduce or eliminate transmission noise and provide more life and reliability to transmissions in vehicles resulted into noise free vehicles.

A Experiment Study of Rolling Bearing Fault Diagnosis Based on Sensorless Detection Method

2013 ◽  
Vol 579-580 ◽  
pp. 434-438
Author(s):  
Xian Jiang Shi ◽  
Xiu Fang Gong ◽  
Hua Guo ◽  
Jun Shan Si
Keyword(s):  
Fault Diagnosis ◽  
Power Transmission ◽  
Basic Research ◽  
Vibration Signal ◽  
Rolling Bearing ◽  
Vibration Monitoring ◽  
Bearing Fault ◽  
Experiment Platform ◽  
Bearing Fault Diagnosis ◽  
Motor Current Signature Analysis

This paper studied the motor current signature analysis also called sensorless detection. It used to distinguish the feasibility of the motor drive system for rolling bearing fault diagnosis. This method used in fault diagnosis methods of wind power transmission system provides a certain amount of basic research, overcome conventional vibration monitoring high cost and installation of the inconvenience and other shortcomings. A special experiment platform was designed, comparison analyzed the typical current and vibration signal of fault bearing by using signal processing method such as Hilbert transform. A large number of experimental analysis results show that the rolling bearing fault current signal characteristics and the expected failure frequency is roughly the same and basically agrees well with the vibration test results. These prove the feasibility and accuracy of sensorless detection.

scholarly journals Dynamic analysis of traction motor in a locomotive considering surface waviness on races of a motor bearing

2021 ◽  
Author(s):  
Yuqing Liu ◽  
Zaigang Chen ◽  
Wei Li ◽  
Kaiyun Wang
Keyword(s):  
Power Transmission ◽  
Contact Stiffness ◽  
Coupled System ◽  
Rolling Bearing ◽  
Surface Waviness ◽  
Traction Motor ◽  
Integer Multiple ◽  
Gear Mesh ◽  
Motor Effects ◽  
Motor Bearing

AbstractThe traction motor is the power source of the locomotive. If the surface waviness occurs on the races of the motor bearing, it will cause abnormal vibration and noise, accelerate fatigue and wear, and seriously affect the stability and safety of the traction power transmission. In this paper, an excitation model coupling the time-varying displacement and contact stiffness excitations is adopted to investigate the effect of the surface waviness of the motor bearing on the traction motor under the excitation from the locomotive-track coupled system. The detailed mechanical power transmission path and the internal/external excitations (e.g., wheel–rail interaction, gear mesh, and internal interactions of the rolling bearing) of the locomotive are comprehensively considered to provide accurate dynamic loads for the traction motor. Effects of the wavenumber and amplitude of the surface waviness on the traction motor and its neighbor components of the locomotive are investigated. The results indicate that controlling the amplitude of the waviness and avoiding the wavenumber being an integer multiple of the number of the rollers are helpful for reducing the abnormal vibration and noise of the traction motor.

Multiport Models for the Kinematic and Dynamic Analysis of Gear Power Transmissions

1979 ◽  
Vol 101 (2) ◽  
pp. 258-267 ◽  
Author(s):  
R. R. Allen
Keyword(s):  
Large Scale ◽  
Dynamic Models ◽  
Power Transmission ◽  
Bond Graph ◽  
Angular Velocities ◽  
Machine Elements ◽  
Gear Trains ◽  
Machine Systems ◽  
Kinematic Mechanisms ◽  
Kinematic Transformation

The kinematics of a gear power transmission may be characterized by a power-conserving kinematic transformation between independent and dependent angular velocities. The conjugate of this transform provides a relation between input and output torques. A bond graph multiport representing these kinematic relations provides a power-conserving core to which dissipative, inertial, and compliance effects may be added. This dynamic model of a power transmission may be connected with other machine elements (such as other kinematic mechanisms, motors, driveshafts, and loads) to form large-scale, computable dynamic models. Bond graph techniques are shown to facilitate the process of developing and assembling computable dynamic models for the study of gear trains as elements of machine systems. A numerical example is presented.

Investigation of Power Transmission Mechanism Under Three-Axis Driving Planetary Gear Train Based on the Mechanism

2016 ◽  
Author(s):  
Masao Nakagawa ◽  
Dai Nishida ◽  
Toshiki Hirogaki ◽  
Eiichi Aoyama
Keyword(s):  
Power Transmission ◽  
Structural Complexity ◽  
Planetary Gear ◽  
Gear Train ◽  
Experimental Result ◽  
Planetary Gear Train ◽  
Planetary Gear Trains ◽  
Planet Gear ◽  
Gear Trains ◽  
Driving Condition

Planetary gear trains are presently widely used in various machines owing to their many advantages. They, however, suffer from problems of noise and vibration due to their structural complexity. Moreover, their dynamic characteristics are yet to be fully understood. Although several studies have been conducted on two-axis driving and displacement of planet gear, none has considered three-axis driving. In the present study, the general driving conditions of a planetary gear train, including during three-axis driving, were investigated based on the theory of instant center. Ideal driving condition is proposed based on the experimental result on three-axis driving which was tested on an original fully wireless test stand.

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