Self-aligning Roller Research Articles

Application of EMD ANN and DNN for Self-Aligning Bearing Fault Diagnosis

Self-aligning roller bearings are an integral part of the industrial machinery. The proper analysis and prediction of the various faults that may happen to the bearing beforehand contributes to an increase in the working life of the bearing. This study aims at developing a novel method for the analysis of the various faults in self-aligning bearings as well as the automatic classification of faults using artificial neural network (ANN) and deep neural network (DNN). The vibration data is collected for six different faults as well as for the healthy bearing. Empirical mode decomposition (EMD) followed by Hilbert Huang transform is used to extract instantaneous frequency peaks which are used for fault analysis. Time domain and time-frequency domain features are then extracted which are used to implement the neural networks through the pattern recognition tool in MATLAB. A comparative study of the outputs from the two neural networks is also performed. From the confusion matrix, the efficiency of the ANN has been found to be 95.7% and using DNN has been found to be 100%.

Comparison of Optimal Design of Lip Seal Self-Aligning Roller Bearing Using Design of Experiments and Rating Life Results According to KS B 2019 Standard (Validation)

Comparison of Optimal Design of Lip Seal Self-Aligning Roller Bearing Using Design of Experiments and Rating Life Results According to KS B 2019 Standard (Validation)

Safety Evaluation of the Lip Seal Self-Aligning Roller Bearing according to KS B ISO 5753-1 Standard - mainly Stress and Deformation

Safety Evaluation of the Lip Seal Self-Aligning Roller Bearing according to KS B ISO 5753-1 Standard - mainly Stress and Deformation

Belt Aligning Revisited

The misalignment causes the greatest damage to the conveyor belt. As a result of the interaction of the moving belt with the stationary parts of the conveyor, the sides of the belt wear intensively. This results in reducing the life of the belt. The reasons for this phenomenon are well investigated, but the difficulty lies in the fact that they all act simultaneously. The belt misalignment prevention can be carried out in two ways: by minimizing the effect of causes and by aligning the belt. The construction of aligning devices and errors encountered in practice are considered in this paper. Self-aligning roller supports rotational in plan view are recommended as a means of combating the belt misalignment.

Simulation Studies of the Effect of Shaft's Nonlinear Flexural Stiffness Parameters for Critical States of Rotating Power Transmission Systems

The paper presents simulation studies, performed using Simulink, the impact of nonlinear flexural stiffness of shafts for critical speed range and amplitude of vibration. The tests were performed on the selected model of a rotating machine, consisting of a drive, two torsional vibration dampers, shaft with mounted on it two rigid rotors (discs), supported on a three self-aligning roller bearings and mechanical power receiver (brake). The machine startup and braking with crossing the critical states was simulated using specialized Simulink library, which was developed by authors for analysis of transient states in rotating machines and flexural-torsional couplings. In accordance with the concept of modeling adopted by the authors, rotating system is divided into inertial rigid elements (rotors, bearings, clutches, etc..) and compliance elements (parts of the shaft). The main component of the currently developed library is block modeling rigid rotor with 6 degrees of freedom and with the static and dynamic unbalance. By assumption the library is a modular, expandable and allows modeling the systems of any configuration. The goal of the simulation was to verify how nonlinear flexural stiffness of shaft influences the values of critical speeds and the level of flexural and torsional vibrations.

Detection of Self-Aligning Roller Bearing Fault by Asynchronous Adaptive Noise Cancelling Technology.

An effective method for improving the signal-to-noise ratio from measurements of bearing housing vibration is presented.The method is based on the conventional adaptive noise cancelling (ANC) technique principle;it varies the main signal input and reference signal input.Since the main and reference inputs signals are collected at different times, this method is called asynchronous adaptive noise cancelling (AANC).It can improve the signal-to-noise ratio, as in the case of the detecting bearing faults when vibration signals of machinery are collected under low-frequency noise condition.In combination with AANC, statistical analysis, enveloping spectrum analysis techniques are used for detection of bearing fault and diagnosis.Experimental result has shown that these techniques can be made more effective only after AANC has reduced the background noise from the diagnostic signals.A new approach is proposed to the traditional fault detecting for self-aligning roller bearings when the shaft speed is low (250rpm) or high (1000rpm) condition.

Discussion on "Rolling bearing applications" at the Manchester Section of the Institution

The double-row self-aligning roller bearing is also used for the largest rotary kiln in the world?in operation in this country. The load on the four pairs of supporting rollers is 480 tons. A Lancashire mill 500 h.p. steam engine had a spherical roller bearing fitted to the connecting-rod big-end in 1921. Prior to this, 1 1/2 gallons of oil per day were required for the plain bearing but after converting to roller bearings only 1 pint of oil per week was necessary. At the same time, speed was increased from 64 to 70 r.p.m. and occasionally the output was increased to 750 h.p. According to the latest information it is still functioning. Three thrust ball bearings 37 1/2 O.D. to take a load of 200 tons each at 30 r.p.m. were fitted to buffer-heading presses in Sheffield. After 25 years' continuous service they are still giving satisfaction.