Sample regeneration algorithm for structural failure probability function estimation

An efficient strategy to approximate the failure probability function in structural reliability problems is proposed. The failure probability function (FPF) is defined as the failure probability of the structure expressed as a function of the design parameters, which in this study are considered to be distribution parameters of random variables representing uncertain model quantities. The task of determining the FPF is commonly numerically demanding since repeated reliability analyses are required. The proposed strategy is based on the concept of augmented reliability analysis, which only requires a single run of a simulation-based reliability method. This paper introduces a new sample regeneration algorithm that allows to generate the required failure samples of design parameters without any additional evaluation of the structural response. In this way, efficiency is further improved while ensuring high accuracy in the estimation of the FPF. To illustrate the efficiency and effectiveness of the method, case studies involving a turbine disk and an aircraft inner flap are included in this study.     

陶瓷刀具模糊可靠性及其与刀具材料力学性能的关系

基于模糊数学和可靠性数学的基本理论 ,阐述了刀具模糊可靠性的基本概念和评价方法 ,并进一步应用于陶瓷刀具研究领域 ,建立了陶瓷刀具模糊可靠性与刀具材料力学性能的关系 ,从而使得不做或少做切削实验就能评价陶瓷刀具可靠性的设想成为可能     

Stabilization and tracking in the nonholonomic integrator via sliding modes

In this paper we use an approach based on sliding mode control to design a feedback which stabilizes the origin for the so-called nonholonomic integrator or Heisenberg system, a particular case of a canonical class of nonlinear driftless control systems of the form

which fail Brockett's necessary condition for the existence of a smooth stabilizing feedback.     

飞机故障预测与健康管理应用模式研究

针对现有飞机维修机制的不足进行了分析,描述了故障预测与健康管理、视情维修和自主后勤的三者之间的关系。提出了三种典型的故障预测与健康管理(PHM)应用模式,在分析比较现有三种模式优劣的基础上,进一步指出PHM的发展趋势。设计了一种飞机故障预测与健康管理(PHM)系统框架,并运用物联网技术完成了对自主保障系统的构建,能够有效提升飞机的自主保障能力。最后论证了故障预测与健康管理和持续采办与全寿命支持(CALS)之间的关系,为装备采购和全寿命支持提供了技术支持和理论依据。     

设备远程监控及故障诊断系统

基于GPRS技术和规则引擎,设计开发了一个高校仪器设备远程监控及故障诊断系统。该系统可扩展性强,能实现事件记录、远程监控、故障自诊断等功能。能够真正意义上实现对设备从采购到报废整个生命周期的管理,提高教育投资效益,减少仪器设备重复购置,降低故障率。本文从系统的组成框架、实现流程、关键功能模块以及应用实例等几个方面来介绍该系统设计思想及实现技术。该系统具有人机界面良好,实用性强,成本投资少等特点。     

电梯交通模式的模糊神经网络识别

交通模式识别的准确性将直接影响群控系统的整体性能,通过对各种电梯交通模式识别方法优、缺点的分析比较,考虑电梯交通模式的判断条件,结合神经网络和模糊推理,设计了一种基于模糊神经网络的电梯交通模式识别方法,该方法能够适应各种交通流模式的变化,并采用相应的电梯群控调度策略。     

Black‐box position and attitude tracking for underwater vehicles by second‐order sliding‐mode technique

In this work we address the tracking control problems for autonomous underwater vehicles (AUVs). The proposed solution is based on the variable structure systems (VSS) theory and, in particular, on the second‐order sliding‐mode (2‐SM) methodology. The tuning of the controller is carried out via black‐box approach, dispensing with the knowledge of the actual AUV parameters, by simply progressively increasing a single gain parameter. The presented stability analysis includes explicitly the unmodelled actuator dynamics and the presence of external uncertain disturbances. The good performance of the proposed scheme is verified by means of simulations on a 6‐DOF AUV. Copyright © 2009 John Wiley & Sons, Ltd.     

Failure mode and effects analysis using a group-based evidential reasoning approach

Failure mode and effects analysis (FMEA) is a methodology to evaluate a system, design, process or service for possible ways in which failures (problems, errors, risks and concerns) can occur. It is a group decision function and cannot be done on an individual basis. The FMEA team often demonstrates different opinions and knowledge from one team member to another and produces different types of assessment information such as complete and incomplete, precise and imprecise and known and unknown because of its cross-functional and multidisciplinary nature. These different types of information are very difficult to incorporate into the FMEA by the traditional risk priority number (RPN) model and fuzzy rule-based approximate reasoning methodologies. In this paper we present an FMEA using the evidential reasoning (ER) approach, a newly developed methodology for multiple attribute decision analysis. The proposed FMEA is then illustrated with an application to a fishing vessel. As is illustrated by the numerical example, the proposed FMEA can well capture FMEA team members’ diversity opinions and prioritize failure modes under different types of uncertainties.     

On the second-order sliding mode control of nonlinear systems with uncertain control direction

This note deals with the implementation of a second-order sliding mode control algorithm for a class of nonlinear systems in which the sign of the high-frequency gain, though constant, is unknown. A specific second-order sliding mode control algorithm, the “Suboptimal” algorithm, is properly modified in order to face the uncertainty in the control direction. It is shown that after a finite time the uncertain sign is identified and the standard finite time convergence takes place from that time on. Simulation results are provided.