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Teuku Edisah Putra
Teuku Edisah Putra
Universitas Syiah Kuala
Bestätigte E-Mail-Adresse bei usk.ac.id - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Reducing cyclic testing time for components of automotive suspension system utilising the wavelet transform and the Fuzzy C-Means
TE Putra, S Abdullah, D Schramm, MZ Nuawi, T Bruckmann
Mechanical Systems and Signal Processing 90, 1-14, 2017
562017
The need to generate realistic strain signals at an automotive coil spring for durability simulation leading to fatigue life assessment
TE Putra, S Abdullah, D Schramm, MZ Nuawi, T Bruckmann
Mechanical Systems and Signal Processing 94, 432-447, 2017
492017
Generating strain signals under consideration of road surface profiles
TE Putra, S Abdullah, D Schramm, MZ Nuawi, T Bruckmann
Mechanical Systems and Signal Processing 60, 485-497, 2015
482015
Predicting the fatigue life of an automotive coil spring considering road surface roughness
TE Putra, MN Machmud
Engineering Failure Analysis 116, 104722, 2020
352020
Wavelet coefficient extraction algorithm for extracting fatigue features in variable amplitude fatigue loading
TE Putra, S Abdullah, MZ Nuawi, ZM Nopiah
J. Applied Sci 10 (4), 277-283, 2010
232010
Fatigue Feature Clustering of Modified Automotive Strain Signals for Saving Testing Time
TE Putra, N Ali
International Journal of Automotive and Mechanical Engineering 15 (2), 2018
222018
Study of leaf spring fracture behavior used in the suspension systems in the diesel truck vehicles
N Ali, R Riantoni, TE Putra, H Husin
IOP Conference Series: Materials Science and Engineering 541 (1), 012046, 2019
142019
Study of leaf spring fracture behavior used in the suspension systems in the diesel truck vehicles, IOP Conf
NA Husaini, R Riantoni, TE Putra, H Husin
Series: Mater. Sci. and Eng 541, 012046, 2019
14*2019
Effect of cycle amplitude removal of fatigue strain loadings associated to signal energy characteristics
TE Putra, S Abdullah, D Schramm
Engineering Failure Analysis 116, 104723, 2020
122020
Comparative study on data editing techniques for fatigue time series signals
Z Mohd Nopiah, S Abdullah, MN Baharin, TE Putra, SN Sahadan, ...
Advanced Materials Research 146, 1681-1684, 2011
112011
Identifying strain signal characteristics of automotive suspension system subjected to road surface vibrations
TE Putra, Husaini
AIP Conference Proceedings 1983 (1), 030004, 2018
102018
The Morlet wavelet analysis for fatigue feature clustering
S Abdullah, TE Putra, MZ Nuawi, ZM Nopiah, A Arifin, L Abdullah
WSEAS Transactions on Mathematics 9 (5), 345-354, 2010
102010
Failure Analysis of Spur Gears Used in Transmission System Applied on a Hand Tractor
DM Dawud, EP Teuku, A Nurdin
Key Engineering Materials 841, 144-149, 2020
92020
Failure Analysis of the Leaf Spring of Truck Colt Diesel Using Finite Element Method
R Riantoni, N Ali, TE Putra
IOP Conference Series: Materials Science and Engineering 547 (1), 012017, 2019
92019
FCM-based Optimisation to Enhance the Morlet Wavelet Ability for Compressing Suspension Strain Data
TE Putra, S Abdullah, D Schramm, MZ Nuawi, T Bruckmann
Procedia materials science 3, 288-294, 2014
82014
Numerical analysis of the stress leading to fatigue failure on a coil spring of the front suspension of a car
TE Putra, N Ali, I Hasanuddin, A Bakhtiar
IOP Conference Series: Materials Science and Engineering 523 (1), 012066, 2019
72019
Failure analysis of the fracture surface of the crankshaft of a vehicle
TE Putra, N Ali, H Husin
IOP Conference Series: Materials Science and Engineering 523 (1), 012067, 2019
72019
Investigating the road surface effect to the fatigue life of an automotive coil spring
TE Putra
IOP Conference Series: Materials Science and Engineering 352 (1), 012016, 2018
72018
Extracting fatigue damage features using STFT and CWT
S Abdullah, TE Putra, MZ Nuawi, ZM Nopiah, A Arifin, L Abdullah
WSEAS Transactions on Signal Processing 6 (3), 91-100, 2010
72010
Time-frequency localization analysis for extracting fatigue damaging events
S Abdullah, TE Putra, MZ Nuawi, ZM Nopiah, A Arifin, L Abdullah
ISPRA 10, 31-35, 2010
72010
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