Probabilistic Monte-Carlo Method for Modelling and Prediction of Electronics Component Life
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2014, Vol 5, Issue 1
Abstract
Power electronics are widely used in electric vehicles, railway locomotive and new generation aircrafts. Reliability of these components directly affect the reliability and performance of these vehicular platforms. In recent years, several research work about reliability, failure mode and aging analysis have been extensively carried out. There is a need for an efficient algorithm able to predict the life of power electronics component. In this paper, a probabilistic Monte-Carlo framework is developed and applied to predict remaining useful life of a component. Probability distributions are used to model the component’s degradation process. The modelling parameters are learned using Maximum Likelihood Estimation. The prognostic is carried out by the mean of simulation in this paper. Monte-Carlo simulation is used to propagate multiple possible degradation paths based on the current health state of the component. The remaining useful life and confident bounds are calculated by estimating mean, median and percentile descriptive statistics of the simulated degradation paths. Results from different probabilistic models are compared and their prognostic performances are evaluated.
Authors and Affiliations
T. Sreenuch, A. Alghassi, S. Perinpanayagam, Y. Xie
Keywords
Related Articles
- EP ID EP141851
- DOI 10.14569/IJACSA.2014.050113
- Views 51
- Downloads 0
An autonomous intelligent gateway for wireless sensor network based on mobile node
One of the recent tendencies for Wireless Sensor Networks (WSNs) that significantly increases their performance and functionality is the utilization of mobile nodes. This paper describes the software architecture of an i...
Area Efficient Implementation of Elliptic Curve Point Multiplication Algorithm
Elliptic Curve Cryptography (ECC) has established itself as the most preferred and secured cryptography algorithm for the secure data transfer and secure data storage in embedded system environment. Efficient implementat...
The ECG Signal Compression Using an Efficient Algorithm Based on the DWT
The storage capacity of the ECG records presents an important issue in the medical practices. These data could contain hours of recording, which needs a large space for storage to save these records. The compression of t...
Developing Deep Learning Models to Simulate Human Declarative Episodic Memory Storage
Human like visual and auditory sensory devices became very popular in recent years through the work of deep learning models that incorporate aspects of brain processing such as edge and line detectors found in the visua...
A Modified Adaptive Thresholding Method using Cuckoo Search Algorithm for Detecting Surface Defects
There are various mathematical optimization problems that can be effectively solved by meta-heuristic algorithms. The improvement of these algorithms is that they carry out iterative search processes which resourcefully...