A Novel Approach of Gearbox Fault Diagnosis by Using Time Synchronous Averaging and J48 Algorithm
Gearbox fault diagnosis is a major research area in mechanical engineering at the current generation. Due to the important role in industries, gearbox makes a huge impact on mechanical engineering research. A lot of faults occur in the gearbox such as too
- PDF / 694,943 Bytes
- 9 Pages / 439.37 x 666.142 pts Page_size
- 69 Downloads / 204 Views
Abstract Gearbox fault diagnosis is a major research area in mechanical engineering at the current generation. Due to the important role in industries, gearbox makes a huge impact on mechanical engineering research. A lot of faults occur in the gearbox such as tooth crack, wear, plastic flow, and spelling. These types of gearbox faults can lead to major production disaster which is the cause of huge financial losses and decrease the efficacy in the production unit. Thus, it is very important to detect any fault at an initial stage to stay away from an unexpected breakdown of the gearbox. Therefore, this paper presents a unique gearbox fault diagnosis method based on time synchronous averaging (TSA) and J48 algorithm. An electromechanical system was used for experimental work. Two types of faulty gearset were introduced along with a healthy gearset for the study of the gearbox vibration. A computer-aided DAQ was used for acquiring the vibration signal. The experimental work was carried out by three different loads and speeds conditions with duration of 30 s. The results of this work are very promising and make a clear idea of some future research work. Keywords Gearbox faults · Time synchronous averaging (TSA) · J48 algorithm · Gearbox vibration
S. Mukherjee (B) · R. Kaushal Mechanical Engineering Department, Thapar Institute of Engineering and Technology, Patiala, Punjab 147004, India e-mail: [email protected] R. Kaushal e-mail: [email protected] V. Kumar · S. Sarangi Mechanical Engineering Department, Indian Institute of Technology, Patna, Bihar 801103, India e-mail: [email protected] S. Sarangi e-mail: [email protected] © Springer Nature Singapore Pte Ltd. 2021 V. C. Pandey et al. (eds.), Advances in Electromechanical Technologies, Lecture Notes in Mechanical Engineering, https://doi.org/10.1007/978-981-15-5463-6_82
927
928
S. Mukherjee et al.
1 Introduction Gearbox plays a decisive role in any mechanical transmission system and production unit, which is mainly used for power transmission. Any fault in the gearbox can lead to an expensive failure in the production unit and unwanted time consumption. Therefore, it is very important to detect gearbox faults as early as possible. Gearbox fault identification can be done using various approaches such as vibration analysis, current signature analysis, and temperature analysis. But vibration signal analysis of the gearbox is the most effective and extensively used method for gearbox fault identification. Some authors have proposed a method based on statistical feature extraction and advanced signal processing for gearbox fault diagnosis. [1] presented an improved gearbox fault diagnosis method based on statistical feature extraction and improved acoustic emission sensor. [2] used a linear dynamic model for gearbox fault diagnosis. [3] used an adaptive Morley wavelet and SVD for turbine vibration analysis. [4] applied Shannon wavelet spectrum analysis for studying the vibration response. [5] used complex maximum energy-to-Shannon entropy rati
Data Loading...
