Equipment’s Prognostics Using Logical Analysis of Data - Advances in Production Management Systems: Competitive Manufacturing for Innovative Products and Services - Part II Access content directly
Conference Papers Year : 2013

Equipment’s Prognostics Using Logical Analysis of Data

Alireza Ghasemi
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  • PersonId : 1001931
Sasan Esmaeili
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  • PersonId : 1001932
Soumaya Yacout
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  • PersonId : 1001933


This paper demonstrates the implementation of Logical Analysis of Data (LAD) methodology in the field of prognostics in Condition Based Maintenance (CBM). In this paper the LAD classification methodology, based on Sensitive Discriminating and Equipartitioning methods for data binarization, Mixed Integer Linear Programming (MILP) and Hybrid Greedy methods for pattern generation, is used. Using the generated patterns, two methods of calculating the survival function are introduced. The methodology is applied on Prognostics and Health Management Challenge dataset, which is a condition monitoring dataset provided by NASA Ames Prognostics Data Repository. The results obtained by using LAD methodology, are compared with that obtained by using the Proportional Hazards Model (PHM).
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hal-01470626 , version 1 (17-02-2017)





Alireza Ghasemi, Sasan Esmaeili, Soumaya Yacout. Equipment’s Prognostics Using Logical Analysis of Data. 19th Advances in Production Management Systems (APMS), Sep 2012, Rhodes, Greece. pp.240-247, ⟨10.1007/978-3-642-40361-3_31⟩. ⟨hal-01470626⟩
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