船舶电力推进系统状态监测与故障诊断的信息融合方法

项目来源

国家自然科学基金(NSFC)

项目主持人

徐晓滨

项目受资助机构

杭州电子科技大学

立项年度

2017

立项时间

未公开

项目编号

U1709215

研究期限

未知 / 未知

项目级别

国家级

受资助金额

200.00万元

学科

信息科学-自动化-控制理论与技术

学科代码

F-F03-F0301

基金类别

联合基金项目-重点支持项目-NSFC-浙江两化融合联合基金

关键词

信息融合 ; 状态监测 ; 故障诊断 ; 船舶电力推进系统 ; 故障预测 ; Fault Diagnosis ; Condition Monitoring ; Information Fusion ; Fault Prediction ; Marine electric propulsion system

参与者

杨剑波;盛晨兴;侯平智;彭章明;周谧;高海波;袁裕鹏;仲广鑫;吕菲亚

参与机构

合肥工业大学;武汉理工大学

项目标书摘要:围绕国家对高技术船舶工程装备运行安全性技术的重大需求,结合两化深度融合中从“浙江制造”到“浙江创造”的终极目标,针对高技术船舶电力推进系统状态监测与故障诊断中,由于工作环境及运行状态复杂性所导致的故障状态、故障特征、特征与故障之间映射关系中的不确定性问题,开展高端装备运行状态监测与故障诊断信息融合理论与关键技术研究。主要包括:与运行全生命周期各阶段相适应的监测变量优化配置、面向海量监测数据的故障特征动态挖掘与提取、基于多源故障特征的故障信度函数获取、多源故障信度函数的“时空域”融合与微小故障诊断、基于故障信度数据与专家知识的故障状态预测等。以期通过“时空域”多源故障特征信息的融合过程,增强不确定环境下故障决策的精度和可靠性,为提升高端装备的智能化自诊断水平提供理论依据和关键的技术支撑,取得一批具有普适性且有别于传统框架的故障诊断新理论与新方法。培养一支高水平的人才队伍。

Application Abstract: This project concentrates on national vital demand for operational security of high tech marine engineering equipment and ultimate goal“from‘made in Zhejiang’to‘Zhejiang create’”formulated in policy of the deep integration of information and industrialization.In condition monitoring and fault diagnosis of high tech marine electric propulsion system,in order to deal with uncertainties in fault states,fault features,mapping relation between features and faults caused by complexities of work environments and running states,we study on information fusion theory and key technology for high-end equipment condition monitoring and fault diagnosis.These research contents are suitable for all stages of running life cycle including optimal allocation of monitoring variables,dynamic mining and extraction of fault feature from monitoring data,fault belief functions acquisition from multi-source fault features,fusing fault belief functions in spatio-temporal domain and diagnosing incipient faults,fault state prediction based on belief data and expert’s knowledge.The research objective is to improve accuracy and reliability of fault decision-making under uncertain environments by fault feature information fusion in spatio-temporal domain,so as to provide the novel theoretical basis and key technical support for enhancing intelligent self-diagnosis level,which are universal and different from traditional framework or methodology.In the course of research,a talent team will be built.

项目受资助省

浙江省

项目结题报告(全文)

1)项目背景:针对高技术装备安全运行方面的迫切需求,以船舶电力推进系统为对象,重点解决故障信息挖掘与综合利用、早期微小故障在线诊断、故障预测等关键科学问题,建立了一套面向故障决策的信息融合理论与方法。2)主要研究内容:监测变量优化配置与故障特征提取,基于多源故障特征的故障信度获取,基于故障信度融合的故障诊断,基于置信规则库推理的故障预测。3)重要成果:(1)电推系统运行全命阶段划分及监测变量优化配置:基于信度区间的监测变量约减与优化配置,基于深度学习网络的监测变量故障特征提取,基于信度多属性推理决策的系统全生命周期评价与可靠性分析。(2)基于证据推理(ER)与置信规则库(BRB)推理的分类器建模。基于证据推理规则和粗糙集的分类器设计,基于属性向量化与证据融合的分类器设计,ER模型/BRB模型参数和结构的联合优化方法,基于向量式置信规则库(BRB)推理的非线性因果关系建模方法。(3)基于证据推理与证据更新的微小故障(报警)检测:证据更新滤波器在多阶上的推广及报警器设计,基于置信规则推理的多阶证据更新滤波报警器设计,基于多源证据可靠性度量的多变量报警器设计。(4)基于证据推理(故障信度融合)的故障诊断方法:基于故障特征向量化与ER融合的故障诊断方法,完备/不完备故障特征样本条件下的ER融合故障诊断方法,基于ER规则的多分类器融合故障诊断方法。(5)基于置信规则库(BRB)优化模型的故障预测方法:基于主导从属框架的BRB多目标优化方法,基于粒子滤波的BRB动态更新方法,基于动态BRB和ER规则的故障预测方法。在项目组研制的电推系统试验台和仿真平台上,对所研究的信息融合故障诊断与故障预测算法进行实验验证,并搭建电力推进系统安全监控平台,对相关算法及软件的效果进行应用验证。项目组共发表SCI检索的学术论文59篇,出版学术专著2本,授权发明专利35件,培养博士生7名、硕士生30余名。

  • 排序方式:
  • 1
  • /
  • 1.A comprehensive review on the material performance affected by gaseous alternative fuels in internal combustion engines

    • 关键词:
    • Material performance; Internal combustion engines; Gaseous fuels;Compatibility;STRESS-CORROSION CRACKING; AUSTENITIC STAINLESS-STEEL; LIQUEFIEDPETROLEUM GAS; ALUMINUM-ALLOY PISTON; NATURAL-GAS; HYDROGENEMBRITTLEMENT; MECHANICAL-PROPERTIES; IGNITION ENGINE; GASOLINE BLEND;THERMAL-STRESS

    Stringent requirements in emissions and the depletion of conventional fossil fuels drive the development of Gaseous Alternative Fuels (GAF). As a commonly used power source, compatibility issues of the internal combustion engines under the harsh conditions created by the fuels become a technical barrier to improving the safety, reliability, and power performance of real world engines' applications. This paper systematically reviewed the material performance affected by GAF from the perspective of crucial engine components. Issues related to the compatibility of crucial components with GAF were firstly summarized in corrosion, thermal damage, and wear. Experimental study progresses concerning these compatibility issues and the assessment criteria for the material performances were discussed. Feasible critical technologies for improving material performances were discussed from tribology. Finally, this review briefly discussed the characteristics and plausible future trends for these compatibility issues. This study provides technical assistance for the safe application of GAF on internal combustion engines.

    ...
  • 2.A review of online condition monitoring and maintenance strategy for cylinder liner-piston rings of diesel engines

    • 关键词:
    • Cylinder liner-piston ring; Online condition monitoring; Maintenancestrategy; Self-repairing additives;INTERNAL-COMBUSTION ENGINE; EMPIRICAL MODE DECOMPOSITION; TIME-FREQUENCYANALYSIS; ACOUSTIC-EMISSION SIGNALS; WEAR DEBRIS CONCENTRATION;FAULT-DIAGNOSIS; TRIBOLOGICAL BEHAVIOR; WORN SURFACE; AUTOMATEDCLASSIFICATION; EMULSION BREAKING

    As vital components of diesel engines, failure issues of cylinder liner-piston ring components (CLPRs), which work under harsh conditions of high temperature, high pressure, and heavy load, become a technical shortcoming of performance improvement and service life for diesel engines. Online condition monitoring and maintenance based on the operating conditions of CLPRs are considered an effective method for ensuring normal diesel engine operation. For this reason, a comprehensive overview for condition-monitoring technologies, including lubricating oil and vibration condition monitoring, and wear-repairing strategies was necessary. However, such an overview, to the best of our knowledge, is needed in related research fields of condition monitoring and maintenance regarding diesel engines and its components. This paper systematically reviewed the research progress of online condition monitoring and self-repairing techniques for in-service diesel CLPRs from the perspective of tribosystems. To contextualize this concern, an initial review of various condition-monitoring techniques, such as lubricating oil, mechanical vibration, essential state parameters, and acoustic emission technology were specifically discussed. Subsequently, real-time maintenance strategies based on lubricating oil self-repairing additives were comprehensively summarized. Finally, this review concluded with a brief discussion of shortcomings and plausible future trends for various techniques. This study tackled wear-induced failure issues of CLPRs by reviewing online condition techniques and in-time maintenance methodology, providing a theoretical foundation and technical assistance for the development of operation and maintenance guarantee systems for marine diesel engines and intelligent engine rooms in the near future.

    ...
  • 3.Optimization of competitive supply chains with retailers' horizontal cooperation and consumers' green preference.

    • 关键词:
    • ;

    With the wider recognition of the concept of environmental protection and sustainable development, more and more manufacturers have begun to implement green manufacturing strategies. However, green development is a gradual process, and the coexistence of ordinary and green products is common. This paper examines the competition between ordinary products and green ones based on supply chains, and discusses the impact of retailers' horizontal cooperation on pricing, greenness, market demand, profit, and other related decisions and results. Model solutions and numerical experiments have shown that consumers' green preference (CGP) has a positive impact on the results of green products and negative effects on those of ordinary ones; however, the impact of competition intensity (CI) is more complex, and the trend tends to change if it exceeds a certain critical value. In general, cooperation encourages retailers to raise prices and make manufacturers lower wholesale prices, but the retail and wholesale prices of green products are always higher than the corresponding prices of ordinary ones. Market demand can be reduced due to cooperation, but it is conducive to strengthening green products' greenness. However, if CI exceeds a certain threshold, the greenness will be weakened by cooperation. Both retailers can benefit from cooperation easily and they always reach a win-win situation, but manufacturers suffer badly as a result. Nevertheless, when CI is weak, cooperation will bring a greater profit improvement to the whole chain of ordinary products; in this case, if a retailer is willing to compensate for a manufacturer's profit loss and help it benefit from cooperation, the manufacturer will encourage the retailer to cooperate horizontally with the green retailer, but the green chain will be seriously damaged. When CI is strong, the greenness of green products is not obvious enough, and cooperation can bring some chances to achieve a win-win situation for two chains; if the green retailer can obtain a larger share from cooperation under this scenario, it can also enable its manufacturer to obtain compensation and change the profit increment from negative to positive. From an overall perspective, when CI is very weak or very strong, horizontal cooperation is conducive to improving the profit of the entire supply chain competition system, but when CI is relatively flat, independent operation for each chain is more advantageous; if the competition status is stable and unchanged, independent competition will be superior to horizontal cooperation. © 2021. The Author(s).

    ...
  • 排序方式:
  • 1
  • /