The Mahalanobis-Taguchi System (MTS) refers to a newly-developed technique based on statistics that integrates a number of mathematical concepts to be applied for classification and diagnosis purposes within systems that are comprised of multiple dimensions. The MTS has been proven to be an exceptional technique that can be employed in numerous fields. In MTS, it is essential to choose the variables in order to enhance the accuracy in classifying via orthogonal array (OA) and Signal-to-Noise (S/N) ratios. However, the penalty for over-fitting or regularization is not included in the feature selection process for the MTS classifier. Hence, this paper investigated the combination between MTS and statistical pattern recognition approach applied to automotive crankshaft remanufacturing as an automated decision-making tool for classification purposes. The outcomes revealed that MTS displayed better classification performance for both training and test datasets, besides eliminating redundant and irrelevant parameters better than the conventional approach did.
Skip Nav Destination
Article navigation
2 October 2018
PROCEEDING OF THE INTERNATIONAL CONFERENCE ON MATHEMATICS, ENGINEERING AND INDUSTRIAL APPLICATIONS 2018 (ICoMEIA 2018)
24–26 July 2018
Kuala Lumpur, Malaysia
Research Article|
October 02 2018
Optimal variable screening in automotive crankshaft remanufacturing process using statistical pattern recognition approach in the Mahalanobis-Taguchi system
Wan Zuki Azman Wan Muhamad;
Wan Zuki Azman Wan Muhamad
a)
1
Genichi Taguchi Centre, UTM Razak School of Engineering and Advanced Technology, Universiti Teknologi Malaysia
, 54100 Kuala Lumpur, Malaysia
2
Institute of Engineering Mathematics, Universiti Malaysia Perlis
, Kampus Pauh Putra, 02600 Arau, Perlis, Malaysia
a)Corresponding author: [email protected]
Search for other works by this author on:
Khairur Rijal Jamaludin;
Khairur Rijal Jamaludin
b)
1
Genichi Taguchi Centre, UTM Razak School of Engineering and Advanced Technology, Universiti Teknologi Malaysia
, 54100 Kuala Lumpur, Malaysia
Search for other works by this author on:
Mohd Nabil Muhtazaruddin;
Mohd Nabil Muhtazaruddin
c)
1
Genichi Taguchi Centre, UTM Razak School of Engineering and Advanced Technology, Universiti Teknologi Malaysia
, 54100 Kuala Lumpur, Malaysia
Search for other works by this author on:
Zainor Ridzuan Yahya;
Zainor Ridzuan Yahya
d)
2
Institute of Engineering Mathematics, Universiti Malaysia Perlis
, Kampus Pauh Putra, 02600 Arau, Perlis, Malaysia
Search for other works by this author on:
Faizir Ramlie;
Faizir Ramlie
e)
1
Genichi Taguchi Centre, UTM Razak School of Engineering and Advanced Technology, Universiti Teknologi Malaysia
, 54100 Kuala Lumpur, Malaysia
Search for other works by this author on:
N. Harudin
N. Harudin
f)
1
Genichi Taguchi Centre, UTM Razak School of Engineering and Advanced Technology, Universiti Teknologi Malaysia
, 54100 Kuala Lumpur, Malaysia
3
Department of Mechanical Engineering, Universiti Tenaga Nasional
, 43000 Kajang, Selangor, Malaysia
Search for other works by this author on:
a)Corresponding author: [email protected]
AIP Conf. Proc. 2013, 020031 (2018)
Citation
Wan Zuki Azman Wan Muhamad, Khairur Rijal Jamaludin, Mohd Nabil Muhtazaruddin, Zainor Ridzuan Yahya, Faizir Ramlie, N. Harudin; Optimal variable screening in automotive crankshaft remanufacturing process using statistical pattern recognition approach in the Mahalanobis-Taguchi system. AIP Conf. Proc. 2 October 2018; 2013 (1): 020031. https://doi.org/10.1063/1.5054230
Download citation file:
Pay-Per-View Access
$40.00
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
Citing articles via
Inkjet- and flextrail-printing of silicon polymer-based inks for local passivating contacts
Zohreh Kiaee, Andreas Lösel, et al.
Design of a 100 MW solar power plant on wetland in Bangladesh
Apu Kowsar, Sumon Chandra Debnath, et al.
Effect of coupling agent type on the self-cleaning and anti-reflective behaviour of advance nanocoating for PV panels application
Taha Tareq Mohammed, Hadia Kadhim Judran, et al.
Related Content
Random binary search algorithm based feature selection in Mahalanobis Taguchi system for breast cancer diagnosis
AIP Conference Proceedings (June 2018)
Numerical analysis of single cylinder engine crankshaft
AIP Conf. Proc. (October 2020)
Factors affecting engineering students performance: The case of students in Universiti Malaysia Perlis
AIP Conf. Proc. (October 2018)
Deburring 3-cylinder IC engine crankshaft oil passage
AIP Conf. Proc. (October 2020)
Static characteristic study of a modified Crankshaft pulley
AIP Conf. Proc. (August 2023)