Nelson rules failure analysis

NIAID Data Ecosystem2026-03-08 收录

统计过程控制

时序异常检测

数据链接：

https://figshare.com/articles/dataset/Nelson_rules_failure_analysis/1499204 数据链接链接失效反馈

官方服务：

资源简介：

An analysis of how often the nelson rules fail on different length sequences

关于纳尔逊规则（Nelson Rules）在不同长度序列上失效频率的分析

创建时间：

2015-07-31

Time series measurements from five environmental monitoring stations (chunk 1 of 2)

环境监测

时序异常检测

This dataset contains raw time series data from five monitoring stations, stored as NumPy binary arrays (.npy). Each file (station_001.npy to station_005.npy) is a float32 matrix of shape (1000, 78),

Zenodo2026-05-25 更新70

ARLs along with their respective standard deviations for α = 0.0027.

统计过程控制

控制图性能评估

ARLs along with their respective standard deviations for α = 0.0027.

Figshare2025-02-06 更新20

ADbenchmark

时序异常检测

工控安全

Among 5 widely used datasets in anomoly detection domain, come from those papers:Y. Su, Y. Zhao, C. Niu, et al., \u201cRobust Anomaly Detection for Multivariate Time Series through Stochastic Recurren

IEEE20

Comparison of the ARL 1 values obtained using the analytical and numerical ARL methods for long-memory SARFIMAX( P , D , Q , r ) s processes with exponential white noise on a CUSUM control chart for ARL 0 = 370 with Φ 1 = 0.1, Φ 2 = 0.2, Θ 1 = 0.1, and ω 1 = 0.5.

统计过程控制

时间序列监控

Comparison of the ARL1 values obtained using the analytical and numerical ARL methods for long-memory SARFIMAX(P, D, Q, r)s processes with exponential white noise on a CUSUM control chart for ARL0 = 3

NIAID Data Ecosystem30

Performance of the mean control charts with generalized sensitizing rules for various probability distribution

统计过程控制

工业质量控制

The current study highlights and resolves the issues of mean control charts with sensitizing rules. The average run length (ARL)-based mean control charts with sensitizing rules involve a restricted a

Taylor & Francis Group2025-06-13 更新20

Nelson rules failure analysis

资源简介：

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