高可扩展可容错的无网格/粒子程序petaPar及其测试

petaPar 粒子模拟程序面向千万亿次级计算,在统一框架下实现两种广受关注的粒子模拟算法：光滑粒子流体动力学（Smoothed Particle Hydrodynamics,SPH）和物质点法（Material Point Method,MPM)。代码支持多种材料模型、强度模型和失效模型,适合模拟大变形、高应变率和流固耦合问题。支持纯 MPI 和 MPI+X 混合两种并行模型。系统具有可容错性,支持无人值守变进程重启。在Titan 上测试表明,petaPar 可线性扩展到 26 万 CPU 核,SPH 和 MPM 算法并行效率相对 8 192 核分别为 87% 和 90%。     

故障诊断专家系统在水电厂的应用

水电机组故障诊断技术是水电厂开展状态检修的基础。水电机组作为大型旋转机械,其振动可以反映机组大部分故障。专家系统是人工智能领域应用比较成熟的技术,现在故障诊断专家系统已在国内水电厂逐步推广。本文在水电机组状态监测的基础上,针对水电机组的振动故障,提出一种基于产生式规则的专家系统。它主要由知识库、推理机、数据库、人机接口等部分组成。最后,利用实际数据进行诊断和分析,并根据机组检修情况对诊断结果进行验证,证明专家诊断系统能够给检修人员提供机组故障产生的可能原因和部位,对机组检修起到一定的指导作用。     

浅谈企业级服务器故障分析及排除

随着人类文明的不断进步,计算机技术得到了快速的发展,企业级服务器在各行各业的应用也日益增多.对许多企业来说,服务器就是其信息网络的核心,服务器的有效运行,是企业的管理者和技术人员都应考虑的问题.因此,企业级服务器的故障分析及排除工作便显得尤为重要.     

漏电保护器投运难题的解决方案

分析剩余电流动作保护装置的常见故障,编制常见故障排查口袋书,采取简单易懂、能按图索骥的快速查找方法,破解剩余电流动作保护装置投运难题.     

Adaptive type-2 fuzzy sliding mode controller for SISO nonlinear systems subject to actuator faults

In this paper, an adaptive type-2 fuzzy sliding mode control to tolerate actuator faults of unknown nonlinear systems with external disturbances is presented. Based on a redundant actuation structure, a novel type-2 adaptive fuzzy fault tolerant control scheme is proposed using sliding mode control. Two adaptive type-2 fuzzy logic systems are used to approximate the unknown functions, whose adaptation laws are deduced from the stability analysis. The proposed approach allows to ensure good tracking performance despite the presence of actuator failures and external disturbances, as illustrated through a simulation example.     

The Output Feedback H∞ Control Design for the Linear Stochastic System Driven by Both Brownian Motion and Poisson Jumps: A Nonlinear Matrix Inequality Approach

We extend the output feedback H_∞ control approaches to the stochastic system including Poisson jumps. In this model, both the control and exogenous disturbance simultaneously enter the volatility and jumps. By completing square methods, a nonlinear matrix inequality is used for solving such problems to give the necessary and sufficient conditions for the existence of a compensator.     

Robust Absolute Stability Analysis of Multiple Time‐Delay Lur'e Systems With Parametric Uncertainties

The problem of robust absolute stability for time‐delay Lur'e systems with parametric uncertainties is investigated in this paper. The nonlinear part of the Lur'e system is assumed to be both time‐invariant and time‐varying. The structure of uncertainty is a general case that includes norm‐bounded uncertainty. Based on the Lyapunov–Krasovskii stability theory, some delay‐dependent sufficient conditions for the robust absolute stability of the Lur'e system will be derived and expressed in the form of linear matrix inequalities (LMIs). These conditions reduce the conservativeness in computing the upper bound of the maximum allowed delay in many cases. Numerical examples are given to show that the proposed stability criteria are less conservative than those reported in the established literatures.     

Quantized H∞ Control for Networked Systems with Communication Constraints

The problem of quantized H_∞ control for networked control systems (NCSs) subject to time‐varying delay and multiple packet dropouts is investigated in this paper. Both the control input and the measurement output signals are quantized before being transmitted and the quantized errors are described as sector bound uncertainties. The measurement channel and the control channel packet dropouts are considered simultaneously, and the stochastic variables satisfying Bernoulli random binary distribution are utilized to model the random multiple packet dropouts. Sufficient conditions for the existence of an observer‐based controller are established to ensure the exponential mean‐square stablility of the closed‐loop system and achieve the optimal H_∞ disturbance attenuation level. By using a globally convergent algorithm involving convex optimization, the nonconvex feasibility can be solved successfully. Finally, a numerical example is given to illustrate the effectiveness and applicability of the proposed method.     

基于固有模态能量的暂态量选线方法

针对基于小波分析的煤矿电网故障选线方法由于分解效果取决于基函数的选择,不能保证最优分解效果的问题,提出了一种基于固有模态能量的暂态量选线方法。该方法利用经验模态分解对信号局部特征的自适应性,对单相接地故障零序电流的暂态特征进行分析,定义固有模态能量和能量权重因子作为故障特征参数,实现对故障暂态量信息的数据挖掘;求取故障后各馈线的零序暂态电流的固有模态能量,计算各馈线的能量权重因子,通过比较各馈线能量权重因子辨识出故障线路,即能量权重因子最大的线路就是故障线路。理论分析和仿真结果表明,该方法不受接地电阻、故障时间等故障条件的影响,能够准确可靠地实现煤矿高压电网故障选线。     

人工代谢算法在故障诊断中的应用

从生物体新陈代谢的生理机能出发,建立了基于酶催化的人工代谢算法模型．通过对代谢算子功能的 分析提出了模式定理的概念,并证明了算法的收敛性．利用酶与底物相匹配的原理,通过代谢操作找出酶与底物的 最优匹配,从而找出对应故障现象的原因．在寻优过程中,不断地通过凋亡算子将不可能成立的原因筛除,降低了 故障诊断的成本．实例分析表明,该算法能有效地进行故障定位,尽可能地缩小了不必要的搜索空间．