Development of an intelligent gas turbine engine health monitoring and degradation prediction system
智能燃气轮机健康监测和退化预测系统的开发
基本信息
- 批准号:508307-2016
- 负责人:
- 金额:$ 2.91万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Collaborative Research and Development Grants
- 财政年份:2017
- 资助国家:加拿大
- 起止时间:2017-01-01 至 2018-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Gas turbine engines (GTE) have been widely used in civilian and defense sectors for generating energy and are critical to the operation of many industrial plants, aircrafts, and heavy vehicles. Any unexpected engine failure could be costly and potentially disastrous. Monitoring and predicting the GTE's health condition is therefore critically important and necessary in industries for gaining comprehensive knowledge of the engine system, improving operation reliability, and reducing maintenance cost. Because of their tremendous importance, extensive research has been conducted over the past decades in GTE health condition monitoring and prediction as a means to provide advance warning of failure, enable forecasted maintenance, and improve system qualification. Although a variety of methods have been proposed in the literature, reliable assessment of GTE current and future health conditions still remains a challenging task in both research and industrial applications due to the inherent complexities in GTE structures and time-varying operating conditions. Partnering with an Ottawa-based company, Life Prediction Technologies (LPTi), the proposed research is aimed at developing an intelligent GTE health monitoring and degradation prediction system to address this challenge. Our ultimate goal is to develop more reliable techniques and tools for GTE health condition monitoring and prediction to help Canadian companies improve asset utilization, reduce the total cost of GTE ownership, and remain competitive in the global market.
燃气涡轮发动机(GTE)已广泛应用于民用和国防部门,用于发电,对许多工业工厂、飞机和重型车辆的运行至关重要。任何意外的引擎故障都可能代价高昂,甚至可能是灾难性的。因此,监测和预测GTE的健康状况对于获得发动机系统的全面知识、提高运行可靠性和降低维护成本至关重要和必要。由于其巨大的重要性,在过去的几十年里,在GTE健康状态监测和预测方面进行了广泛的研究,作为提供故障预警、实现预测维护和提高系统质量的一种手段。尽管文献中提出了多种方法,但由于GTE结构固有的复杂性和时变的操作条件,在研究和工业应用中,对GTE当前和未来健康状况的可靠评估仍然是一项具有挑战性的任务。与一家总部位于渥太华的公司合作,Life Prediction Technologies (LPTi),提出的研究旨在开发一种智能GTE健康监测和退化预测系统来应对这一挑战。我们的最终目标是开发更可靠的技术和工具,用于GTE健康状况监测和预测,以帮助加拿大公司提高资产利用率,降低GTE拥有的总成本,并保持在全球市场上的竞争力。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Liu, Jie其他文献
Safety of inactivated COVID-19 vaccines in autoimmune encephalitis: A real-world cross-sectional survey.
- DOI:
10.1016/j.msard.2022.104495 - 发表时间:
2023-03 - 期刊:
- 影响因子:4
- 作者:
Liu, Xu;Guo, Kundian;Lu, Lu;Luo, Rong;Liu, Jie;Zhou, Dong;Hong, Zhen - 通讯作者:
Hong, Zhen
Sustained co-delivery of 5-fluorouracil and cis-platinum via biodegradable thermo-sensitive hydrogel for intraoperative synergistic combination chemotherapy of gastric cancer.
- DOI:
10.1016/j.bioactmat.2022.10.004 - 发表时间:
2023-05 - 期刊:
- 影响因子:18.9
- 作者:
Chen, Wen;Shi, Kun;Liu, Jie;Yang, Peipei;Han, Ruxia;Pan, Meng;Yuan, Liping;Fang, Chao;Yu, Yongyang;Qian, Zhiyong - 通讯作者:
Qian, Zhiyong
GLIM-defined malnutrition and overall survival in cancer patients: A meta-analysis.
- DOI:
10.1002/jpen.2463 - 发表时间:
2023-02 - 期刊:
- 影响因子:3.4
- 作者:
Yin, Liangyu;Chong, Feifei;Huo, Zhenyu;Li, Na;Liu, Jie;Xu, Hongxia - 通讯作者:
Xu, Hongxia
Sirt1 regulates microglial activation and inflammation following oxygen-glucose deprivation/reoxygenation injury by targeting the Shh/Gli-1 signaling pathway.
- DOI:
10.1007/s11033-022-08167-6 - 发表时间:
2023-04 - 期刊:
- 影响因子:2.8
- 作者:
Liao, Hongyan;Huang, Jiagui;Liu, Jie;Zhu, Huimin;Chen, Yue;Li, Xuemei;Wen, Jun;Yang, Qin - 通讯作者:
Yang, Qin
Personalized treatment of extensive stage small cell lung cancer: A case report and literature review.
- DOI:
10.3389/fonc.2022.956372 - 发表时间:
2022 - 期刊:
- 影响因子:4.7
- 作者:
Wang, Huaiyu;Wang, Xuning;Jiang, Suxin;Zhu, Jingna;Liu, Jie;Zhou, Chuanhong;Zhu, Yanjun;Han, Yong - 通讯作者:
Han, Yong
Liu, Jie的其他文献
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{{ truncateString('Liu, Jie', 18)}}的其他基金
Development of a Novel Health Monitoring and Life Prognostics System for Industrial Bearings
开发新型工业轴承健康监测和寿命预测系统
- 批准号:
543944-2019 - 财政年份:2021
- 资助金额:
$ 2.91万 - 项目类别:
Collaborative Research and Development Grants
Advanced Lithium Ion Battery Thermal Management and Health Management
先进的锂离子电池热管理和健康管理
- 批准号:
RGPIN-2016-06226 - 财政年份:2021
- 资助金额:
$ 2.91万 - 项目类别:
Discovery Grants Program - Individual
Development of a Novel Health Monitoring and Life Prognostics System for Industrial Bearings
开发新型工业轴承健康监测和寿命预测系统
- 批准号:
543944-2019 - 财政年份:2020
- 资助金额:
$ 2.91万 - 项目类别:
Collaborative Research and Development Grants
Advanced Lithium Ion Battery Thermal Management and Health Management
先进的锂离子电池热管理和健康管理
- 批准号:
RGPIN-2016-06226 - 财政年份:2020
- 资助金额:
$ 2.91万 - 项目类别:
Discovery Grants Program - Individual
Advanced Lithium Ion Battery Thermal Management and Health Management
先进的锂离子电池热管理和健康管理
- 批准号:
RGPIN-2016-06226 - 财政年份:2019
- 资助金额:
$ 2.91万 - 项目类别:
Discovery Grants Program - Individual
Development of a Novel Health Monitoring and Life Prognostics System for Industrial Bearings
开发新型工业轴承健康监测和寿命预测系统
- 批准号:
543944-2019 - 财政年份:2019
- 资助金额:
$ 2.91万 - 项目类别:
Collaborative Research and Development Grants
Development of an intelligent gas turbine engine health monitoring and degradation prediction system
智能燃气轮机健康监测和退化预测系统的开发
- 批准号:
508307-2016 - 财政年份:2018
- 资助金额:
$ 2.91万 - 项目类别:
Collaborative Research and Development Grants
Advanced Lithium Ion Battery Thermal Management and Health Management
先进的锂离子电池热管理和健康管理
- 批准号:
RGPIN-2016-06226 - 财政年份:2018
- 资助金额:
$ 2.91万 - 项目类别:
Discovery Grants Program - Individual
Advanced Lithium Ion Battery Thermal Management and Health Management
先进的锂离子电池热管理和健康管理
- 批准号:
RGPIN-2016-06226 - 财政年份:2017
- 资助金额:
$ 2.91万 - 项目类别:
Discovery Grants Program - Individual
Advanced Lithium Ion Battery Thermal Management and Health Management
先进的锂离子电池热管理和健康管理
- 批准号:
RGPIN-2016-06226 - 财政年份:2016
- 资助金额:
$ 2.91万 - 项目类别:
Discovery Grants Program - Individual
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