Experimental application of stochastic resonance based on Wood–Saxon potential on fault diagnosis of bearing and planetary gearbox

Abstract

Bearing and planetary gearbox are important for rotating machinery. However, their faults often cause the stop of the machinery or even fatal casualties. Vibration signal contains the status information of the rotating machinery, which is covered by the strong noise. Stochastic resonance (SR) is a noise-benefit phenomenon, which can detect the weak fault characteristic signal from the vibration signal under strong noise. To detect the fault of bearing or planetary gearbox effectively, SR based on Wood-Saxon potential which only has on potential well called WSSR is studied, and a novel fault diagnosis strategy based on WSSR is proposed. The effect of every WSSR parameter, anti-noise capability of WSSR under different noise intensities and optimal frequency response of WSSR under different driving frequency are analyzed by simulation. To verify the effectiveness of our proposed fault diagnosis strategy based on WSSR, three preset fault tests of bearing and two of planetary gearbox are carried out. Bi-stable SR is also used for comparison. The results show that our proposed fault diagnosis strategy is more effective for the fault detection of bearing and planetary gearbox than bi-stable SR.

Revealing the influence of structural and operational parameters of a wooden hydrostatic bearing on its performance

“…The polyethylene glycol recommended in operation as a promising material for plain bearings is questionable since its fluidity properties are significantly dependent on temperature. In work [11], the bearing malfunctions are analyzed. The vibration signal contains information about the state of rotating mechanisms and makes it possible to analyze the intensity of noise.…”

“…In works [1][2][3][4][5][6][7][8][9][10][11][12] there is no information on the design of wooden bearings of hydrostatic type and no determination of specific pressures of the working fluid on the surface of the bearing, and there is no thermal analysis of wooden hydrostatic bearings.…”

“…When calculating the flow rate of the working fluid, the pressure values in the chambers P K,i , obtained according to the calculation algorithm already described, were used. The loss of friction and pumping power losses were calculated using formulas (10) and (11). Setting different values of the supply pressures and using the described calculation algorithm, the increase in the temperature of the working fluid in the bearing was determined.…”

Extracting weak multi-frequency signal in heavy colored noise

“…(1), then one obtains Discretizing the equation, then one gets the iterative expression By combining above Eqs. (5) and (6), one has…”

“…In order to solve this problem, it is necessary to master the existing multi-frequency signal analysis methods. Stochastic resonance (SR) has the ability to enhance weak signals by adding noise with appropriate intensity to a system [3][4][5] and has been widely used in the field of multi-frequency signal detection [6,7]. For example, Guo et al [8] proposed the multi-frequency weak signal detection method based on multisegment cascaded SR.…”