Abstract
Logical analysis of data (LAD) has the advantage of not relying on any statistical theory, which enables it to overcome the conventional problems concerning the statistical properties of the datasets. LAD's other advantage is its straightforward procedure and self-explanatory results. In this paper, we developed methods to calculate equipment's survival probability at a certain future moment, using LAD. We employed LAD's pattern generation procedure and introduced a guideline to use the generated patterns to estimate the equipment's survival probability. The proposed methods were applied on Prognostics and Health Management Challenge dataset provided by NASA Ames Prognostics Data Repository. Prognostics results obtained by the methods are compared with those of the proportional hazards model. The comparison reveals that the proposed methods are promising tools that compare favourably to the PHM. Since the proposed prognostics model is at its beginning phase, future directions are presented to improve the performance of the model.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Decision Sciences, Risk and Management
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
