1.
Research on methods about reliability assessment based on degradation data

基于退化数据的可靠性评估方法探讨
2.
Study on Reliability Modeling and Applications Based on Performance Degradation;

基于性能退化数据的可靠性建模与应用研究
3.
Reliability Growth Analysis Based on System Degradation Data;

基于系统性能退化数据的可靠性增长研究
4.
Reliability Assessment of Electrically Conductive Adhesives Based on Performance Degradation Data
基于导电性能退化数据的导电胶可靠性评估
5.
A degradation measurement based decision support method for optimal predictive maintenance policy
基于退化数据的最优预测维护决策支持方法
6.
Reliability assessment based on performance degradation data for vibration sensors

基于振动传感器性能退化数据的可靠性评估
7.
Reliability Analysis Based on Circuit Board Accelerated Degradation Data

基于板级电路加速退化数据的可靠性分析
8.
Statistical Analysis of Degradation Data with Random Failure Threshold and Paroxysmal Failure;
随机阀值下含突发失效的一类离散退化数据的统计分析
9.
Macroscopic Assessment of Land Degradation in the Songliao Plain Using MODIS Data;

基于MODIS数据的松辽平原土地退化宏观评估
10.
Application of Genetic-Simulated Annealing Algorithm in Database Query Optimization Research
遗传-模拟退火算法在数据库查询优化中的应用
11.
Multi-focus Image Fusion Based on Data Assimilation and Genetic Simulated Annealing Algorithm
基于数据同化和遗传退火的多聚焦图像融合
12.
Research and Application on Multi-Join Query Optimization of Database Based on Genetic Algorithm and Simulated Annealing
基于遗传退火算法的数据库多连接查询优化研究与应用
13.
Research on Equipment Performance Degradation Based on SVDD and Information Fusion

基于支持向量数据描述与信息融合的设备性能退化评估研究
14.
THE DYNAMIC VARIATION OF GRASSLAND VEGETATION DEGENERATION BASED ON REMOTE SENSING MODIS DATA
基于MODIS数据的内蒙古草地植被退化动态监测研究
15.
Wavelet package-support vector data description applied in bearing performance degradation assessment
小波包-支持向量数据描述在轴承性能退化评估中的应用研究
16.
Assessment of Bearing Performance Degradation by Cyclostationarity Analysis and Support Vector Data Description
结合循环平稳和支持向量数据描述的轴承性能退化评估研究
17.
The Application of the Deterministic Annealing Technique in Data Mining;

确定性退火技术在数据挖掘中的应用
18.
Optimize the Parameters of Technics to Increase Quality of Products

优化退火炉工艺参数提高连退产品质量