http://hdl.handle.net/123456789/9678 Sat, 04 Apr 2026 14:49:33 GMT 2026-04-04T14:49:33Z http://hdl.handle.net/123456789/26572 Exploring Support Vector Regression For Bearing Degradation Darwis, Sutawanir; Hajarisman, Nusar; Suliadi; Widodo, Achmad Predicting bearing degradation before reaching the state of risk of accident is a significant issue in power generation insurance. Bearings are largely present in turbine of power generation. The purpose of this paper is to explore the support vector regression for bearing state degradation. The method is applied on PRONOSTIA dataset which is an experimental platform dedicated to test methods related to bearing health assessment. Several data sets have been used to explore the characteristics of support vector regression. The experiments on real data show that the support vector regression is similar to smoothing technique. A life table gives probabilities based on failure per thousands in a given year and used to help determine premiums. The proposed method can be served as a part of power generation insurance. The main issue in power generation insurance is how to construct a mortality table like in power generation. The methodology proposed in this paper is a new application of mortality table construction in power generation insurance. Wed, 01 Jan 2020 00:00:00 GMT http://hdl.handle.net/123456789/26572 2020-01-01T00:00:00Z http://hdl.handle.net/123456789/14631 Performance and compariso 40 Bandung industrial sector based on growth ratio model YANTI, Teti Sofia Sun, 01 Jan 2017 00:00:00 GMT http://hdl.handle.net/123456789/14631 2017-01-01T00:00:00Z http://hdl.handle.net/123456789/11110 A Synthetic control chart reexpression vector variance for process multivariate dispersion SUWANDA Mon, 01 Feb 2016 00:00:00 GMT http://hdl.handle.net/123456789/11110 2016-02-01T00:00:00Z http://hdl.handle.net/123456789/10506 Comparison of two log-logistic population medians in the presence of undetected data MUTAQIN, Aceng Komarudin; SUNENDIARI, Siti Sun, 01 Jan 2017 00:00:00 GMT http://hdl.handle.net/123456789/10506 2017-01-01T00:00:00Z