ENBIS-21 Online Conference

Session

Mining

PS53_C9

14 Sept 2021, 16:45

Online

Conveners

Mining

• Chair: Amalia Vanacore (Department of Industrial Engineering University of Naples Federico II)

15. DATA MINING FOR DISCOVERING DEFECT ASSOCIATIONS AND PATTERNS TO IMPROVE PRODUCT QUALITY: A CASE FOR PRINTED CIRCUIT BOARD ASSEMBLY

Ayse Merve Parlaktuna

14/09/2021, 16:45

Mining

Meeting customer quality expectations and delivering high quality products is the key for operational excellence. In this study, a printed circuit board (PCB) assembly process is considered for improvement. Associations between the defects as well as patterns of the defects over time are investigated. A priori algorithm for association rule mining and Sequential Pattern Discovery using...

19. Spatial correction of low-cost sensors observations for fusion of air quality measurements

Prof. Jean-Michel Poggi (University Paris-Saclay)

14/09/2021, 17:05

Mining

The context is the statistical fusion of air quality measurements coming from different monitoring networks. The first one of fixed sensors of high quality, the reference network, and the second one of micro-sensors of less quality. Pollution maps are obtained from the correction of numerical model outputs using the measurements from the monitoring stations of air quality networks. Increasing...

39. Interactive tool for clustering and forecasting patterns of Taiwan COVID-19 speared

Prof. Frederick Kin Hing Phoa (Academia Sinica)

14/09/2021, 17:25

Mining

The COVID-19 data analysis is essential for policymakers in analyzing the outbreak and managing the containment. Many approaches based on traditional time series clustering and forecasting methods such as hierarchical clustering and exponential smoothing have been proposed to cluster and forecast the COVID-19 data. However, most of these methods do not scale up with the high volume of cases....

50. Vibration signal analysis to classify spur gearbox failure.

Mr Antonio Pérez-Torres (Universidad Politécnica de Valencia)

14/09/2021, 17:45

Mining

A gearbox is a fundamental component in a rotating machine; therefore, detecting a fault or malfunction is indispensable early to avoid accidents, plan maintenance activities and reduce downtime costs. The vibration signal is widely used to monitor the condition of a gearbox because it reflects the dynamic behavior in a non-invasive way. The objective of this research was to perform a ranking...