DEVELOPMENT OF ALGORITHMS FOR HELICOPTER PROGNOSTICS

机译：直升机预测算法的发展

获取原文

获取原文并翻译 | 示例

页面导航

摘要
著录项
相似文献
相关主题

摘要

The current health monitoring and diagnostics systems for helicopters do not have a clearly defined prognostics capability. In this paper, as an effort for developing the needed prognostics capability, the development of algorithms for helicopter prognostics is presented. The prognostics algorithms are developed based on the modeling and learning capability of the hidden semi-Markov models (HSMMs) and a data-grouping algorithm called Mahalanobis Distance Group Index (MDGI) algorithm. The MDGI algorithm projects the multi-dimensional data into one-dimensional projection line so that a single dimensional group index (GI) can be computed and the complex multi-dimensional data-grouping problem solved easily. Effective and robust prognostics models can be built based the data groups computed by the MDGI algorithm. The developed prognostics algorithms are validated using real helicopter data supplied by Goodrich.

机译：当前用于直升机的健康监测和诊断系统没有明确定义的预测能力。在本文中，作为开发所需的预测能力的一项工作，提出了直升机预测算法的开发。基于隐藏的半马尔可夫模型（HSMM）的建模和学习能力以及称为马氏距离组索引（MDGI）的数据分组算法，开发了预测算法。 MDGI算法将多维数据投影到一维投影线中，从而可以计算一维组索引（GI），并轻松解决复杂的多维数据分组问题。可以基于由MDGI算法计算出的数据组来建立有效而强大的预测模型。使用Goodrich提供的真实直升机数据验证了开发的预测算法。

著录项

来源
《Society for Machinery Failure Prevention Technology Meeting; 20060403-06; Virginia Beach,VA(US)》|2006年|P.27-36|共10页
会议地点 Virginia BeachVA(US)
作者
David He; Shenliang Wu; Pat Banerjee; Eric Bechhoefer;
展开▼
作者单位

Department of Mechanical Industrial Engineering The University of Illinois at Chicago Chicago, IL, USA, 60607;

展开▼
会议组织
原文格式 PDF
正文语种 eng
中图分类 TH171;
关键词
hidden semi-markov models; prognostics; data-grouping;

机译：隐半马尔可夫模型;预测;数据分组;

相似文献

外文文献
中文文献
专利

1. Defining follow-up algorithms after lung cancer surgery: development and validation of the THis PLAN prognostic score [J] . Balata H., Edwards T., Foden P., Lung cancer: Journal of the International Association for the Study of Lung Cancer . 2018,第Suppla1期

机译：肺癌外科后定义后续算法：该计划的开发和验证预后得分
2. Defining follow-up algorithms after lung cancer surgery: development and validation of the THis PLAN prognostic score [J] . Balata H., Edwards T., Foden P., Lung cancer: Journal of the International Association for the Study of Lung Cancer . 2018,第期

机译：肺癌外科后定义后续算法：该计划的开发和验证预后得分
3. Defining follow-up algorithms after lung cancer surgery: development and validation of the THis PLAN prognostic score [J] . Balata H., Edwards T., Foden P., Lung cancer: Journal of the International Association for the Study of Lung Cancer . 2018,第Suppla1期

机译：肺癌外科后定义后续算法：该计划的开发和验证预后得分
4. DEVELOPMENT OF ALGORITHMS FOR HELICOPTER PROGNOSTICS [C] . David He, Shenliang Wu, Pat Banerjee, Society for Machinery Failure Prevention Technology Meeting; 20060403-06; Virginia Beach,VA(US) . 2006

机译：直升机预测算法的发展
5. Role of on -board sensors in remaining life prognostic algorithm development for selected assemblies as input to a health and usage monitoring system for military ground vehicles [D] . Heine, Richard 2008

机译：车载传感器在选定组件的剩余寿命预测算法开发中的作用，作为军事地面车辆健康和使用情况监视系统的输入
6. Are prehospital airway management resources compatible with difficult airway algorithms? A nationwide cross-sectional study of helicopter emergency medical services in Japan [O] . Yuko Ono, Kazuaki Shinohara, Aya Goto, -1

机译：院前气道管理资源是否与困难的气道算法兼容？日本直升机紧急医疗服务的全国性横断面研究
7. Development of a Customized Autopilot for Unmanned Helicopter Model Using Genetic Algorithm via the Application of Different Guidance Strategies [O] . A. Hosny, M. Hosny, H. Ez-Eldeen 2011

机译：通过应用不同的指导策略，使用遗传算法开发无人直升机模型的定制自动驾驶仪
8. Discussion on Uncertainty Representation and Interpretation in Model-Based Prognostics Algorithms based on Kalman Filter Estimation Applied to Prognostics of Electronics Components. [R] . Celaya, J. R., Saxen, A., Goebel, K. 2012

机译：基于卡尔曼滤波估计的模型预测算法在电子元器件预测中的不确定性表示与解释。

DEVELOPMENT OF ALGORITHMS FOR HELICOPTER PROGNOSTICS

摘要

著录项

相似文献

相关主题

期刊订阅