TY - JOUR N2 - In this paper, the applications of the multivariate data analysis and optimization on vibration signals from compressors have been tested on the assembly line to identify nonconforming products. The multivariate analysis has wide applicability in the optimization of weather forecasting, agricultural experiments, or, as in this case study, in quality control. The techniques of discriminant analysis and linear program were used to solve the problem. The acceleration and velocity signals used in this work were measured in twenty-five rotating compressors, of which eleven were classified as good baseline compressors and fourteen with manufacturing defects by the specialists in the final acoustic test of the production line. The results obtained with the discriminant analysis separated the conforming and nonconforming groups with a significance level of 0.01, which validated the proposed methodology. L1 - http://www.czasopisma.pan.pl/Content/110262/PDF/aoa.2019.126354.pdf L2 - http://www.czasopisma.pan.pl/Content/110262 PY - 2019 IS - No 1 EP - 87 DO - 10.24425/aoa.2019.126354 KW - discriminant analysis KW - noise KW - optimization KW - quality control A1 - Reis, Déborah A1 - Vanzo, Fernanda A1 - Reis, Jorge A1 - Duarte, Marcus PB - Polish Academy of Sciences, Institute of Fundamental Technological Research, Committee on Acoustics VL - vol. 44 DA - 2019.03.11 T1 - Discriminant Analysis and Optimization Applied to Vibration Signals for the Quality Control of Rotary Compressors in the Production Line SP - 79 UR - http://www.czasopisma.pan.pl/dlibra/publication/edition/110262 T2 - Archives of Acoustics ER -