id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_3vo6ohjwjzcebnzidwoautzbu4	Ibrahim Masood	Bivariate quality control using two-stage intelligent monitoring scheme	2014	17	.pdf	application/pdf	11347	1975	83	Nevertl~eless, the existing traditional SPC schemes for bivariate quality control (BQC) were mainly designed for rapid detection of experiments to select input representation based on raw data and statistical features, artificial neural network recognizer design based on synergistic model, and monitoring-diagnosis approach based on twostage technique. When dealing with monitoring and diagnosis of bivariate process variation in mean shifts, based on process monitoring viewpoint, an effective bivariate SPC scheme should be able to overall performance towards achieving balanced monitoring (rapidly detect process variationlmean shifts with small false alarm as second stage monitoring and diagnosis through recognition of process data stream patterns that contain one of several out-of-control In t h e first 40 samples, this scheme was able to correctly recognize t h e bivariate process data streams as in-control patterns (N). Based on t h e first 39 samples, this scheme is effective to correctly recognize the bivariate process data streams as in-control 	./cache/work_3vo6ohjwjzcebnzidwoautzbu4.pdf	./txt/work_3vo6ohjwjzcebnzidwoautzbu4.txt