• FIT
  • FIT

 

 

     

FACULTY OF INTEGRATED TECHNOLOGIES (FIT), UBD

 

DR WAHYU CAESARENDRA


Assistant Professor of Embedded Systems Engineering

Office: Integrated Sciences Building, Block C, 1st floor, Room C1-5

Phone: + 673 734 5623

Email: This email address is being protected from spambots. You need JavaScript enabled to view it. ; This email address is being protected from spambots. You need JavaScript enabled to view it.

Qualifications/Professional Qualifications

·       PhD in Mechanical Engineering, University of Wollongong, Australia (2015)

·       MEng (Hons) in Mechanical Design Engineering, Pukyong National University, South Korea (2010)

·       BEng (Hons) in Mechanical Engineering, Diponegoro University (2005)

Teaching Areas

Engineering Design 2; Engineering Design 6; Innovation and Entrepreneurship 2; Introduction to Turbomachinery; Product Design for Manufacture and Assembly.

Current Research Activities

·     In-process surface quality measurement for abrasive manufacturing process

·     Development of bionic hand for below elbow amputee in Indonesia

·     Condition monitoring, fault diagnosis and prognosis of rotating machinery

Selected Publications

[1]     Caesarendra, W., Wijaya, T., Tjahjowidodo, T., Pappachan, B.K., Wee, A. and Roslan, M.I. (2018). Adaptive neuro-fuzzy inference system for deburring stage classification and prediction for indirect quality monitoring. Applied Soft Computing, In press.

[2]     Pandiyan, V. Caesarendra, W., Tjahjowidodo, T. and Tan, H.H. (2018). In-process tool condition monitoring in compliant abrasive belt grinding process using support vector machine and genetic algorithm. Journal of Manufacturing Processes, 31, pp. 199-213.

[3]     Caesarendra, W. and Tjahjowidodo, T. (2017). A review of feature extraction methods in vibration-based condition monitoring and its application for degradation trend estimation of low-speed slew bearing. Machines, 5(4), pp. 1-28.

[4]     Pappachan, B.K. Caesarendra, W. Tjahjowidodo, T. and Wijaya, T. (2017). Frequency domain analysis of sensor data for event classification in real-time robot assisted deburring. Sensors, 17(6), pp. 1-18.

[5]     Caesarendra, W. Widodo, T. and Yang, B.S. (2010). Application of relevance vector machine and logistic regression for machine degradation assessment. Mechanical Systems and Signal Processing, 24(4), pp. 1161-1171.

Patents

[1]     Caesarendra, W., Wijaya, T., Pappachan, B.K., Tjahjowidodo, T., Then, D. and Manyar, O.M. (2018). Embedded Machine Learning Methodology based on Adaptive Neuro-Fuzzy Inference System (ANFIS) for In-Process Surface Finishing Prediction. (UK Patent Filing is in Progress).

[2]     Wijaya, T., Tjahjowidodo, T., Pappachan, B.K., Caesarendra, W., Wee, A. and Roslan, M.I. (2017). Intelligent Decision Making and Robot Action Triggering for Industrial Robots, based on Output of Analytical Tools. (UK Patent Filing is in Progress).

[3]     Caesarendra, W., Pasmanasari, E.D., Putri, F.T., Setiawan, J.D., and Ariyanto, M. (2017). The Detection of Parkinson’s Disease Using the Introduction of the Pattern based on Voice Signal and Censorship Electromyography (EMG). ID201709021A

Research Interests

·       Vibration, acoustic emission and biomedical signal processing

·       Vibration condition monitoring, feature extraction, intelligent fault diagnosis and prognosis

·       Machine learning and pattern recognition

·       Mechatronics, biomechatronics, instrumentation and control system

Weblink

https://scholar.google.com/citations?user=g-6DezAAAAAJ&hl=en

 

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