Condition Based Maintenance with Logical Analysis of Data

2006年9月，蒙特利尔协和式高架桥坍塌。后果是两辆汽车被压碎，5人死亡，6人受伤。调查委员会宣布，这一悲剧不能只归因于一个原因，由顺序原因造成的多个过错累积并导致了这些后果。2007年8月，蒙特利尔市中心的部分地下结构在发现一些迹象表明贯通水造成了破坏后被疏散。2010年，英国石油公司在墨西哥湾发生了漏油事件。这起事故涉及油井压力失控，随后油井防喷器失灵。事故造成11人死亡，其他人受伤。新的和旧的挑战继续困扰着实物资产健康管理(PAHM)领域的研究人员，特别是在基于状态的维护领域。实物资产正在经历的退化和故障问题以及一些现象是复杂的。我们所说的复杂性是指由于任务和使用条件的非均质性、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，基于传统的基于模型的预测算法进行预测实际上是不可能的。应调整传统技术和新技术，以适应更好地跟踪和维护这些有形资产的当前需要。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、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，雅库特博士在PAHM领域的研究小组首次在巴黎理工大学应用了该技术。在发表了13篇文章后，这一方法似乎为解决上述问题提供了新的途径。这项建议旨在继续深入研究、适应和开发基于该方法的技术，用于PAHM领域，并开发基于LAD的综合远程维护智能系统。

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.