Condition Based Maintenance with Logical Analysis of Data

2006年9月，蒙特利尔协和高架桥倒塌。后果是两辆汽车被压坏，五死六伤。调查委员会宣布，这场悲剧不能只归咎于一个原因，而是由连续原因造成的多重错误累积而成。2007年8月，蒙特利尔市中心的部分地下结构在发现一些由通流水造成的损害后被疏散。2010年，英国石油公司在墨西哥湾发生漏油事件。这起事故涉及对油井压力的失控，随后是油井防喷器的故障。事故造成11人死亡，其他人受伤。新旧挑战继续困扰着物理资产健康管理（PAHM）领域的研究人员，特别是在基于状态的维护领域。退化和故障问题以及实物资产正在经历的一些现象是复杂的。所谓复杂，我们指的是由于任务和使用条件的非均匀性、噪声和非线性、多种相互作用的原因而导致的动态和混沌行为。因此，当基于传统的基于模型的预测算法时，预测实际上是不可能的。传统技术和新技术都应适应目前更好地跟踪和维护这些有形资产的需要。数据逻辑分析（LAD）是一种基于模式识别的数据挖掘、人工智能和机器学习方法。它最初于1988年在罗格斯大学运筹学中心（RUTCOR）开始，主要应用于医学领域。2007年，Yacout博士的研究小组在PAHM领域首次将其应用于理工学院。经过13篇论文的发表，这种方法似乎为解决上述问题提供了新的途径。该建议旨在继续深入研究，适应和发展的技术，基于这种方法，为PAHM领域，并开发一个集成的远程维护智能系统的基础上LAD。

In September 2006, the viaduct de la Concorde in Montreal collapsed. The consequences were two crushed cars, five dead and six injured. The inquiry Commission declared that this tragedy cannot be attributed to one cause only, and that multiple faults resulting from sequential causes have accumulated and resulted in these consequences. In August 2007, part of the underground structure of downtown Montreal was evacuated after spotting some indication of damage done by through-flow water. In 2010, the oil spill of British Petroleum in the Gulf of Mexico took place. The accident involved a loss of control over the pressure in the well followed by the failure of the well's blowout preventer. Eleven people died as a result of the accident and others were injured. New and old challenges continue to plague the researchers in the field of Physical Asset Health Management (PAHM), and in particular in the field of Condition Based Maintenance. The degradation and failure problems as well as some of the phenomena that physical assets are experiencing are complex. By complex, we mean dynamic and chaotic behavior due to non-homogeneities in tasks and usage conditions, noisy and non-linear, multiple interacting causes. Therefore, forecasting can be practically impossible when based on the traditional model-based predictive algorithms. Traditional as well as new techniques should be adapted to the present needs of better follow-up and maintenance of these physical assets. Logical Analysis of data (LAD) is a data mining, artificial intelligence, machine learning approach that is based on pattern recognition. Initially it started in 1988 at Rutgers University Center for Operations Research (RUTCOR), and it was applied mainly in the medical field. In 2007, it was applied for the first time at École Polytechnique by Dr. Yacout's research group in the field of PAHM. After thirteen publications, this approach seems to offer new ways for solving the above-mentioned problems. This proposal aims to continue the in-depth study, adaptation, and development of techniques based on this approach, for the field of PAHM, and the development of an integrated tele-maintenance intelligent system based on LAD.