|
[1]
|
A new control chart to monitor the mean vector of a trivariate process
Quality and Reliability Engineering International,
2023
DOI:10.1002/qre.3305
|
|
|
|
|
[2]
|
Anomaly detection using a model-agnostic meta-learning-based variational auto-encoder for facility management
Journal of Building Engineering,
2023
DOI:10.1016/j.jobe.2023.106099
|
|
|
|
|
[3]
|
A new control chart to monitor the mean vector of a trivariate process
Quality and Reliability Engineering International,
2023
DOI:10.1002/qre.3305
|
|
|
|
|
[4]
|
A new control chart to monitor the mean vector of a trivariate process
Quality and Reliability Engineering International,
2023
DOI:10.1002/qre.3305
|
|
|
|
|
[5]
|
Hybrid synthetic and group runs charts using alternating the charting statistic to monitor the mean vector of a multivariate process
Communications in Statistics - Theory and Methods,
2022
DOI:10.1080/03610926.2021.1875243
|
|
|
|
|
[6]
|
Improved Alternated Charting Statistic Multi-Attribute Control Chart to Identify Process Deterioration
International Journal of Reliability, Quality and Safety Engineering,
2021
DOI:10.1142/S0218539321500236
|
|
|
|
|
[7]
|
‘Alternated Charting Statistic Modified Group Runs’ (ACS‐MGR) control chart for monitoring mean vectors of bivariate and trivariate processes
Quality and Reliability Engineering International,
2020
DOI:10.1002/qre.2711
|
|
|
|
|
[8]
|
Abnormal patterns recognition in bivariate autocorrelated process using optimized random forest and multi-feature extraction
ISA Transactions,
2020
DOI:10.1016/j.isatra.2020.09.008
|
|
|
|
|
[9]
|
‘Alternated Charting Statistic Modified Group Runs’ (ACS‐MGR) control chart for monitoring mean vectors of bivariate and trivariate processes
Quality and Reliability Engineering International,
2020
DOI:10.1002/qre.2711
|
|
|
|