基于Petri网知识库维护方法的实现

知识库的维护是知识系统的关键部分，直接关系到系统能否正常运行。本文介绍了基于Petri网知识库维护方法的实现。     

某型发动机健康诊断系统的研究

介绍了基于数据库开发实现发动机健康诊断系统的设计方案,提出了按知识点分类的方法构建知识库,降低了构建知识库的难度,缩小了诊断范围,提高了故障诊断成功率。     

飞机结构件数控加工工艺决策知识获取

工艺决策知识获取是建立工艺决策专家系统知识库的瓶颈。本文介绍了在建立飞机结构件数控加工工艺知识库时，工艺决策知识的获取过程与知识处理方法。     

飞机结构件数控加工工艺知识处理技术

ＦＡ－ＣＡＰＰ系统是针对飞机结构件数控加工的集成化知识基工艺过程设计系统。本文介绍了ＦＡ－ＣＡＰＰ系统工艺知识及数据的处理技术，包括工艺知识表示模式、结构化的知识组织形式，数据库及其与知识库的结合策略，另外，还简单介绍了知识库管理系统的结构。     

某型飞机发动机地面专家诊断系统的研究

航空发动机的健康状况直接影响飞行安全.为了保证飞行安全、缩短再次出动准备时间、提高装备的完好率,结合航空发动机机务维护的特点,介绍了基于数据库开发实现发动机地面专家诊断系统的设计方案,提出了按知识点分类的方法构建知识库,降低了构建知识库的难度,缩小了诊断范围,提高了故障诊断成功率.     

孔加工专家系统

从专家系统基本原理出发，探讨和编制了光孔加工过程专家系统；详细介绍了该系统的结构、知识库形式、知识获取方式、推理机制和工作原理。     

专家系统技术在西飞公司模具CAPP系统中应用

本文简要介绍了西飞公司模具ＣＡＰＰ专家系统中的推理路径的规划，以及知识库、数据库和自适应条件的设计方法，并提出了开发通用ＣＡＰＰ系统的初步设想。     

数据库向广义知识库的演变

本文通过分析数据库方法和知识库方法的相似性及潜在的相互支持，提出了广义知识库的概念，给出了数据库向广义知识库演变的三种策略。从信息技术和专家系统两方面所面临的困惑，论述了数据库向知识库演变的必要性，形成了一种用数据库作为知识源的新策略。     

电传飞控检测系统设计研究

本文论述了现代电传飞控的故障检测系统,介绍了典型的现代电传飞控系统的组成与技术特点。设计了基于专家系统的故障检测系统,专家系统由综合数据库、故障知识库、推理机、知识获取以及决策解释等组成。依据专家系统的原理建立了电传飞控系统的故障综合数据库与故障知识库,采用正向和逆向推理原理完成了推理机的策略设计,针对飞控系统高安全性要求,提出综合数据库的初始数据与检测方法以硬软件的形式驻留于飞控系统之中,故障知识库与推理策略在独立于飞控系统的故障检测系统中。本文对电传飞控系统的故障检测的实现有一定的实用性和推广价值。     

基于VB和SQL的A330电子设备故障诊断系统

介绍了一种基于VB6．0和SQL server数据库的A330电子设备故障诊断专家系统。该系统包含可扩充的知识库和严密的推理机，用户只需在人机交互界面上选择输入详细的故障现象，系统就可以正确判断出故障原因，给出相应的解决措施，且其知识库具有可维护性和可扩充性。     

结构优化专家系统开发工具

结合结构优化领域知识特点,定义了一种基于规则的知识表示语言。着重介绍在计算机上实现结构优化专家系统开发工具的基本算法和数据结构。对推理、匹配,回溯和知识获取等功能的实现方法作了详细的阐述。该工具是建立结构优化专家系统的一部分辅助工作。该工具亦可用于类似知识结构的专业领域。     

基于分层置信规则库的惯导系统性能评估方法

为解决惯导系统（INS）性能评估所面临的高价值样本缺失、评估指标多、系统复杂等问题,提出一种基于分层置信规则库（Hierarchical BRB）的惯导系统性能评估方法。将专家知识与监测数据进行有效融合,提高了惯导系统的性能评估精度。首先,针对惯导系统结构构建分层BRB模型,同时将系统内部器件产生组合误差考虑在模型中。其次,为降低专家知识不确定性对初始模型评估精度的影响,采用基于投影算子的协方差矩阵自适应优化策略（P-CMA-ES）构建优化模型,通过监测数据对模型参数进行微调。最后,以某型捷联惯导系统的性能评估为例,验证了所提方法的有效性。     

Integrating diagnostic knowledge

The use of artificial intelligence technique to access, analyze, and integrate different types of knowledge under a single diagnostic concept is described. Repair statistics and field experience are handled by an empirical knowledge (shallow reasoning) diagnostic system in order to retain the experience of expert test personnel. Computer-aided-design knowledge is handled by model-based (deep reasoning) diagnostic systems in order to extract diagnostics directly from design data. Combining these approaches overcomes limitations of the individual techniques and provides a more powerful diagnostic system. The Westinghouse expert diagnostic system is considered as an example     

A new interpretable fault diagnosis method based on belief rule base and probability table

It is vital to establish an interpretable fault diagnosis model for critical equipment. Belief Rule Base (BRB) is an interpretable expert system gradually applied in fault diagnosis. However, the expert knowledge cannot be utilized to establish the initial BRB accurately if there are multiple referential grades in different fault features. In addition, the interpretability of BRB-based fault diagnosis is destroyed in the optimization process, which reflects in two aspects: deviation from the initial expert judgment and over-optimization of parameters. To solve these problems, a new interpretable fault diagnosis model based on BRB and probability table, called the BRB-P, is proposed in this paper. Compared with the traditional BRB, the BRB-P constructed by the probability table is more accurate. Then, the interpretability constraints, i.e., the credibility of expert knowledge, the penalty factor and the rule-activation factor, are inserted into the projection covariance matrix adaption evolution strategy to maintain the interpretability of BRB-P. A case study of the aerospace relay is conducted to verify the effectiveness of the proposed method.     

航空发动机滑油光谱专家系统知识库建立

从理论和实际应用两方面对滑油光谱分析故障诊断专家系统知识库的建立进行了较深入的研究和探讨。提出了知识库建立的方法,应用磨损元素浓度与浓度增长率模糊综合评判、模糊聚类的方法定量研究,结合专家经验,较好地解决了故障诊断准确度问题     

Performance improvement of optimization solutions by POD-based data mining

The performance of an optimized aerodynamic shape is further improved by a second-step optimization using the design knowledge discovered by a data mining technique based on Proper Orthogonal Decomposition(POD) in the present study. Data generated in the first-step optimization by using evolution algorithms is saved as the source data, among which the superior data with improved objectives and maintained constraints is chosen. Only the geometry components of the superior data are picked out and used for constructing the snapshots of POD. Geometry characteristics of the superior data illustrated by POD bases are the design knowledge, by which the second-step optimization can be rapidly achieved. The optimization methods are demonstrated by redesigning a transonic compressor rotor blade, NASA Rotor 37, in the study to maximize the peak adiabatic efficiency, while maintaining the total pressure ratio and mass flow rate.Firstly, the blade is redesigned by using a particle swarm optimization method, and the adiabatic efficiency is increased by 1.29%. Then, the second-step optimization is performed by using the design knowledge, and a 0.25% gain on the adiabatic efficiency is obtained. The results are presented and addressed in detail, demonstrating that geometry variations significantly change the pattern and strength of the shock wave in the blade passage. The former reduces the separation loss,while the latter reduces the shock loss, and both favor an increase of the adiabatic efficiency.     

具有期望性能的控制系统设计

 本文给出的控制系统设计方案是在设计者已选定系统控制器结构的基础上,利用参数优化计算使所设计的控制系统具有期望的动静性能。它改进了现有控制系统设计方案大多数与系统的期望性能指标无直接关系的缺陷,避免了设计中为满足性能指标而进行的多次试凑。同时该方案在设计中还可包括系统的非线性特性。文中还给出了一种确定系统控制器结构的专家系统方案。最后的算例验证了该方案的实用性。     

信息融合在空战中的应用

主要讨论航空电子系统中的信息融合及在空战中的应用,介绍了信息融合的结构和一般方法,在综合应用场合,信息融合通常先进行同类信息融合,再进行不同类信息融合,在现代空战的应用中,信息融合可帮助分析,处理和综合各类信息源信息及人类专家知识,并结合空战中信息融合应用实例,讨论基于Ｋａｌｍａｎ滤波,模糊逻辑和专家诉信息融合的设计及实现。     

基于不完备知识的飞机发动机故障诊断研究

飞机发动机故障诊断需要厂家提供的诊断知识和不断积累的专家实践经验，具有不完备性。基于粗糙集理论，研究了一种从不完备诊断信息中获取诊断知识的方法。该方法将厂家提供的飞机发动机故障诊断知识和专家实践经验形成统一的诊断信息表，利用粗糙集的知识约简方法处理，获得一致的诊断规则，为飞机数字化维修技术的实现提供了保障。实例分析结果验证了所提出方法的有效性和优越性.