Structural health dynamic monitoring for gear transmission based on guided waves

Abstract

The rotating machinery has a wide range of applications in many fields. The gear transmission system is one of the key structures of rotating machinery. Once the failure occurs to the gear system, it will destroy the equipment itself and lead the whole industrial production to break. Thus, it is necessary to directly monitor the health condition of the gear system under static and running working conditions. Guided waves method is a technology which has been widely used in the field of structural health monitoring (SHM). In this paper, guided waves technology is innovatively applied to the condition monitoring of gear system, which realizes the gear structure direct monitoring for low speed rotating machinery. The piezoelectric transducers integrated with the SMART Layer were placed near the gear mesh region for the direct health monitoring. The feasibility was verified by the guided waves monitoring experiments in a fixed-axis spur gear transmission system. The tooth wear and gear crack were monitored by guided waves under a single working condition. In addition, the stability verification experiment of guided waves was also performed under various low-speed working conditions. To characterize the propagation of gear faults, considering the characteristics of guided waves, a modified health indicator extraction methodology is proposed based on permutation entropy (PeEn). The results indicated that the guided waves technology has fantastic potential applications in gear transmission system dynamic direct health monitoring.

Quantitative condition assessment method for rotating machinery using fuzzy neural network

“…First, most existing models tend to extract single-feature indicators, which cannot fully represent the comprehensive operating condition of rotating machinery [33][34][35]. Second, previous models often overlook the optimization of feature extraction and the impact of interfering components on the construction of health indicators [36][37][38]. Third, though the above methods have constructed effective condition indicators of rotating machinery, they often do not clearly define thresholds to accurately determine when faults may occur [39].…”

Delamination Localization in Multilayered CFRP Panel Based on Reconstruction of Guided Wave Modes

“…Baseline-dependent SHM techniques require data from both defect-free and defective specimens. On the other hand, baseline-independent SHM techniques can detect damages by monitoring the structural response obtained from external forces [17][18][19][20][21]. The structural integrity and reliability of the system can be achieved by implementing an appropriate maintenance procedure.…”