A Review on Fault Diagnosis and Condition Monitoring of Gearboxes by Using AE Technique
- PDF / 610,646 Bytes
- 15 Pages / 595.276 x 790.866 pts Page_size
- 55 Downloads / 199 Views
ORIGINAL PAPER
A Review on Fault Diagnosis and Condition Monitoring of Gearboxes by Using AE Technique Mahendra Singh Raghav1 · Ram Bihari Sharma1 Received: 2 January 2020 / Accepted: 17 August 2020 © CIMNE, Barcelona, Spain 2020
Abstract Gearboxes have a significant role in the operation of rotating machinery. Several techniques exist for the diagnosis of fault in gearboxes. This work presents the techniques for the condition monitoring and fault diagnosis of the gearboxes based on Acoustic Emission (AE). The review describes the application of AE to detect the various types of fault in the gearboxes for different types of gear, the AE parameters used for the gearbox fault diagnosis, AE signal processing techniques, feature extraction techniques for the fault identification of gearbox, modelling of AE generated in gearbox and fault location detection using AE technique. After detailed description of the various techniques, some potential research issues are also discussed which is associated with condition monitoring and fault diagnosis of gearboxes using AE.
1 Introduction In the last three decades, Non-destructive testing (NDT) and Non-destructive evaluation (NDE) have gained a huge interest. These methods are used to probe inside the materials that are used to construct buildings, manufacturing plants, machines etc. In NDT, the aim is to characterise the material and detect any defects present but without damaging or disturbing the material, machine component or structure in any way [1]. Vibration technique is well established and widely used for the diagnosis of faults in rotating machines. The application of Acoustic Emission (AE) for machine fault detection is quite interesting and provides good results for the fault detection. AE is the elastic stress wave that is caused due to release of strain energy from localised sources present on the surface and inside of the material due to the changes in the internal structure [2–6]. In rotating machinery, the relative motion of two media as well as some loss of mechanical integrity in the material generates transient elastic waves. Impacting, cyclic fatigue, friction, turbulence, material loss, cavitation, leakage etc. are some of the sources of AE in * Mahendra Singh Raghav [email protected] Ram Bihari Sharma [email protected] 1
Automobile Engineering Department, RJIT, BSF Academy Tekanpur, Gwalior, M.P, India
rotating machinery. For instance, the rubbing of surface asperities and encroachment of the gear teeth over a defect will result in the propagation of AE. These emissions transmit on the surface of the material as Rayleigh waves and the displacement of these waves is measured with an AE sensor. Rayleigh waves are a combination of longitudinal and transverse waves [7]. The AE signal possesses a wide frequency range of 25 kHz to 3 MHz but due to high sensitivity, AE signal is normally analysed in the frequency range of 100 kHz to 1 MHz [8]. The AE technique is very sensitive towards the detection of faults. The main drawback of this technique i
Data Loading...
