This paper applies the Logical Analysis of Data (LAD) to detect and diagnose faults in
industrial chemical processes. This machine learning classification technique discovers …

This paper presents a novel methodology for multiple failure modes prognostics in rotating
machinery. The methodology merges a machine learning and pattern recognition approach …

This paper proposes a regression model based on Logical Analysis of Data (LAD). LAD is
known as a combinatorial Boolean supervised data mining technique for pattern generation …

Experts in industrial processes rely on domain knowledge (DK) repositories to identify the
causes of abnormal situations in order to make appropriate decisions that mitigate the …

Control charts are widely used as a tool in process quality monitoring to detect anomalies
and to improve the quality of a process and product. Nevertheless, their limitations have …

This paper deals with the application of Logical Analysis of Data (LAD) to machinery-related
occupational accidents, using belt-conveyor-related accidents as an example. LAD is a …

In this paper, logical analysis of data (LAD) is used to predict the seismic response of
building structures employing the captured dynamic responses. In order to prepare the data …

This paper proposes a pattern‐based prognostic methodology that combines logical
analysis of data (LAD) as an event‐driven diagnostic technique, and Kaplan–Meier (KM) …

This paper proposes an interpretable knowledge discovery approach to detect and
diagnose faults in chemical processes. The approach is demonstrated using simulated data …

A mechanism is provided in a data processing system comprising at least one processor
and at least one memory, the at least one memory comprising instructions executed by the at …