一个新的混合频率采样离散灰色模型用于预测硬盘驱动器故障.
Rongxing Chen1, Xinping Xiao1, Mingyun Gao2
1School of Science, Wuhan University of Technology, Wuhan 430070, China.
ISA transactions
|March 7, 2024
概括
一个新的混合频率采样离散灰色模型 (MDGM(1,N)) 提高了混合频率数据的预测,在小样本环境中优于现有模型. 这种新的方法可以提高硬盘驱动器故障预测的准确性和稳定性.
科学领域:
- 数据科学数据科学数据科学
- 时间序列分析时间序列分析
- 可靠性工程可靠性工程
背景情况:
- 混合数据采样 (MIDAS) 模型在混合频率数据方面表现出色,但在小样本中却很难.
- 现有的MIDAS扩展通常缺乏预测性能和稳定性.
研究的目的:
- 引入一种新的混合频率采样离散灰色模型 (MDGM(1,N)).
- 提高混合频率数据的预测准确性和稳定性,特别是在小样本场景中.
- 改善硬盘驱动器故障预测.
主要方法:
- 结合的MIDAS和离散的灰色多变量模型 (MDGM(1, N)).
- 数学分析和随机实验,以确保不偏见和稳定性.
- 用于最佳参数选择的元启发式算法.
- 模型评估系统使用传统的指标和单调性测试.
主要成果:
- 与七个基准模型相比,MDGM(1,N) 显示出更高的有效性,稳定性和稳定性.
- 无法纠正的错误和命令时限显著影响硬盘驱动器故障.
- 准确预测硬盘驱动器失败的四个特定的模型.
结论:
- 拟议的MDGM是有效的混合频率数据分析和预测.
- 该模型在小样本环境中提供了更好的性能.
- 这项研究为硬盘驱动器故障预测提供了宝贵的见解.
相关概念视频
Determination of Expected Frequency
2.2K
Suppose one wants to test independence between the two variables of a contingency table. The values in the table constitute the observed frequencies of the dataset. But how does one determine the expected frequency of the dataset? One of the important assumptions is that the two variables are independent, which means the variables do not influence each other. For independent variables, the statistical probability of any event involving both variables is calculated by multiplying the individual...
2.2K
Sampling Distribution
12.4K
Given simple random samples of size n from a given population with a measured characteristic such as mean, proportion, or standard deviation for each sample, the probability distribution of all the measured characteristics is called a sampling distribution. How much the statistic varies from one sample to another is known as the sampling variability of a statistic. You typically measure the sampling variability of a statistic by its standard error. The standard error of the mean is an example...
12.4K
Sampling Methods: Overview
314
A sample refers to a smaller subset representative of a larger population. In analytical chemistry, studying or analyzing an entire population is often impractical or impossible. Therefore, samples are used to draw inferences and generalize the whole population. The sampling method selects individuals or items from a population to create a sample. Standard sampling methods include random, judgemental, systematic, stratified, and cluster sampling.
In analytical chemistry, the choice of...
In analytical chemistry, the choice of...
314
Expected Frequencies in Goodness-of-Fit Tests
2.5K
A goodness-of-fit test is conducted to determine whether the observed frequency values are statistically similar to the frequencies expected for the dataset. Suppose the expected frequencies for a dataset are equal such as when predicting the frequency of any number appearing when casting a die. In that case, the expected frequency is the ratio of the total number of observations (n) to the number of categories (k).
2.5K
Sampling Methods: Sample Types
220
Sampling materials are classified into three main types: solid, liquid, and gas.
Solid samples include a variety of substances, such as sediments from water bodies, soil, metals, and biological tissues. Two standard methods for extracting sediments from water bodies are grab sampling and piston coring. Grab sampling involves using a device to collect a discrete sediment sample from the bottom of a water body with minimal disturbance. Grab samples do not always represent the entire area due to...
Solid samples include a variety of substances, such as sediments from water bodies, soil, metals, and biological tissues. Two standard methods for extracting sediments from water bodies are grab sampling and piston coring. Grab sampling involves using a device to collect a discrete sediment sample from the bottom of a water body with minimal disturbance. Grab samples do not always represent the entire area due to...
220
Random Sampling Method
11.1K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest. Among the various sampling methods used by...
11.1K


