Vibration Separation Methodology Compensated by Time-Varying Transfer Function for Fault Diagnosis of Non-Hunting Tooth Planetary Gearbox

Abstract

Due to planetary movement of planet gears, the vibration signal perceived by a stationary sensor is modulated and difficult to diagnose. This paper proposed a vibration separation methodology compensated by a time-varying transfer function (TVTF-VS), which is a further development of the vibration separation (VS) method in the diagnosis of non-hunting tooth planetary gearboxes. On the basis of VS, multi-teeth VS is proposed to extract and synthesize the meshing signal of a planet gear using a single transducer. Considering the movement regularity of a planetary gearbox, the time-varying transfer function (TVTF) is represented by a generalized expression. The TVTF is constructed using a segment of healthy signal and an evaluation indicator is established to optimize the parameters of the TVTF. The constructed TVTF is applied to overcome the amplitude modulation effect and highlight fault characteristics. After that, experiments with baseline, pitting, and compound localized faults planet gears were conducted on a non-hunting tooth planetary gearbox test rig, respectively. The results demonstrate that incipient failure on a planet gear can be detected effectively, and relative location of the local faults can be determined accurately.

Investigating the vibration response and modulation mechanism for health monitoring of wind turbine planetary gearboxes using a tribodynamics-based analytical model

“…Inspired by this, the present paper studies the TVTF for amplitude modulation based on an experiment test involving a planet gear with a missing tooth, as illustrated in figure 5(a). According to [25], the exciting positions of the broken tooth and ring gear are distributed regularly, and the engaging sequence repeats periodically. Taking the planetary gear set in table 3 as an example, the distribution of dynamic impacts induced by the broken tooth is depicted in figure 5(b).…”

“…Although abundant research on dynamics-based analytical models has been conducted, some limitations remain. First, there is no consensus on how to model the vibration signal using results obtained from the dynamic model, including the choice of acceleration of certain components or dynamic forces, the consideration of the direction of the dynamic forces caused by the rotation of unfixed shafts, and the formulation of the TVTP [25]. Second, dynamics-based analytical models mostly focus on defects like a missing tooth, tooth root crack, wear, eccentricity, and manufacturing error.…”

Gearbox Fault Diagnosis Based on Multi-Sensor Deep Spatiotemporal Feature Representation

“…However, there is still the limitation that the manual feature extraction of vibration signals is required, and existing feature-extraction methods still rely on signal-processing methods. At the same time, whether the feature extraction is good or not will have a direct impact on the subsequent pattern recognition and classification accuracy [17,18].…”

Gearbox Fault Diagnosis Method Based on Multidomain Information Fusion

“…Gearboxes are mainly composed of gears, shafts, bearings and casings. With the continuous development of modern science and technology, their application is becoming ever more extensive [ 1 ]. They are currently used in mechanical transmission systems such as aero-engines, wind power, petrochemicals and metallurgy [ 2 , 3 ].…”