TY  - JOUR
AU  - Gupta, Mohammed
AU  - Martinez, Reza
AU  - Gomez, Xiaoming
TI  - Multi-Objective Optimisation Applied to Vibration of Rotating Shafts
JO  - Open Access Journal of Engineering Applications
PY  - 2018
VL  - 42
IS  - 1
SP  - 249
EP  - 275
AB  - Reliability in thermal power plants has become a strategic priority for rapidly urbanising regions, where infrastructure often lags behind demand. To quantify uncertainty, the procedure embeds multi-objective optimisation within a Monte Carlo sampling scheme. Detection accuracy reached 44%, substantially exceeding that of existing techniques. Further validation across a broader range of conditions is recommended before large-scale deployment.
KW  - vibration of rotating shafts
KW  - multi-objective optimisation
KW  - power quality
KW  - convolutional neural network
KW  - additive manufacturing
KW  - energy efficiency
SN  - 3105-7004
DO  - 10.55555/oajea.2018.4201.013
UR  - https://journal.bsaps.com/article/9480
ER  -