The Engineering and Fabrication Branch of the Technical Services Department provides a wide range of engineering, design, and fabrication services for the Applied Physics Laboratory. The Branch routinely practices a technique known as "statistical process control" in the design, fabrication, testing, calibration, and quality control phases of its work to ensure the quality of designed and fabri...

In intervention studies in which randomization to groups is not possible, researchers typically use quasi-experimental designs. Time series designs are strong quasi-experimental designs but are seldom used, perhaps because of technical and analytic hurdles. Statistical process control (SPC) is an alternative analytic approach to testing hypotheses about intervention effects using data collected...

As pointed out by Woodall and Montgomery (1999), there are a number of disputes in the area of statistical quality control (SQC). There are differences of opinion in all areas of statistical science, but disagreements tend to be more common and more intense in the quality area. This could be due in part to the diversity of those working in the quality field, including quality gurus and their fo...

A damage detection problem is cast in the context of a statistical pattern recognition paradigm. In particular, this paper focuses on applying statistical process control methods referred to as "control charts" to vibration-based damage detection. First, an auto-regressive (AR) model is fitted to the measured time histories from an undamaged structure. Residual errors, which quantify the differ...

Micro-manufacturing processes are characterized by high process variability and an increased significance of measurement uncertainty in relation to tight tolerance specifications. Therefore, an approach that separates the superposition of measurement and manufacturing variation is demanded. A novel design for a quality control chart that makes it possible to monitor, control and extract measure...

An approach is presented for conducting multiscale statistical process control (MSSPC), based on a library of basis functions provided by wavelet packets. The proposed approach explores the improved ability of wavelet packets in extracting features with arbitrary locations, and having different localizations in the time-frequency domain, in order to improve the detection performances achieved w...

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