Expand description
Phase I/II framework for statistical process monitoring.
Phase I: Builds a monitoring chart from historical in-control data by splitting into tuning (for FPCA) and calibration (for control limits) sets.
Phase II: Monitors new observations against the established chart.
Both univariate and multivariate variants are provided.
§References
- Horváth, L. & Kokoszka, P. (2012). Inference for Functional Data with Applications, Chapter 13, pp. 323–352. Springer.
- Flores, M., Naya, S., Fernández-Casal, R. & Zaragoza, S. (2022). Constructing a control chart using functional data, §2, Algorithm 1. Mathematics, 8(1), 58.
Structs§
- MfSpm
Chart - Multivariate SPM chart from Phase I.
- SpmChart
- Univariate SPM chart from Phase I.
- SpmConfig
- Configuration for SPM chart construction.
- SpmMonitor
Result - Result of Phase II monitoring.
Functions§
- mf_
spm_ monitor - Monitor new multivariate functional data against an established chart.
- mf_
spm_ phase1 - Build a multivariate SPM chart from Phase I data.
- spm_
monitor - Monitor new univariate functional data against an established SPM chart.
- spm_
phase1 - Build a univariate SPM chart from Phase I data.