会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 74. 发明授权
    • Method and apparatus for diagnosis of sensors faults using adaptive fuzzy logic
    • 使用自适应模糊逻辑诊断传感器故障的方法和装置
    • US08260486B2
    • 2012-09-04
    • US12024143
    • 2008-02-01
    • Mutasim A. SalmanPierre-Francois D. Quet
    • Mutasim A. SalmanPierre-Francois D. Quet
    • G06F7/00
    • B60W50/0205
    • A method for monitoring the sensors in a vehicle control system. The method includes identifying a plurality of potential faults, identifying a plurality of measured values, and identifying a plurality of estimated values based on models in the control system. The method further includes identifying a plurality of residual error values as the difference between the estimated values and the measured values. The method also defines a plurality of fuzzy logic membership functions for each residual error value. The fuzzy logic membership functions are adaptive in that they change depending on the vehicle operating region, i.e., the non-linearity level of the vehicle, and the vehicle operating conditions, i.e., steady state verses transients. A degree of membership value is determined for each residual error value based on the membership functions. The degree of membership values are then analyzed in a fuzzy logic reasoning system to determine whether a potential fault exists.
    • 一种用于监测车辆控制系统中的传感器的方法。 该方法包括识别多个潜在故障,识别多个测量值,以及基于控制系统中的模型来识别多个估计值。 该方法还包括将多个残余误差值识别为估计值与测量值之间的差值。 该方法还为每个残差误差值定义多个模糊逻辑隶属函数。 模糊逻辑隶属函数是自适应的,因为它们根据车辆操作区域(即,车辆的非线性水平)和车辆操作条件(即,稳态与瞬态)而变化。 基于隶属函数确定每个残差误差值的隶属度度。 然后在模糊逻辑推理系统中分析隶属度度,以确定是否存在潜在的故障。
    • 76. 发明授权
    • Combined evidence vehicle health monitoring
    • 综合证据车辆健康监测
    • US08099206B2
    • 2012-01-17
    • US12257821
    • 2008-10-24
    • Kwang-Keun ShinMutasim A. Salman
    • Kwang-Keun ShinMutasim A. Salman
    • G01M17/00G06F7/00
    • G07C5/0808
    • A method is provided for fusing a plurality of self-contained diagnostics for generating a combined state of belief for a monitored system. A plurality of predetermined diagnostic states of self-contained diagnostic routines is executed. Each self-contained routine generates a respective state of belief result for the monitored system. Respective belief vectors are formulated as a function of belief results. A state space is provided that includes a plurality of sub-state spaces. Each of the sub-state spaces is representative of the predetermined diagnostic states of the monitored system. Belief vectors are assigned to the sub-state spaces of the state space. Belief vectors relating to each sub-state space are fused. A combined belief value is determined for each fused sub-state space. The sub-state space having the highest combined belief value is indicated in response to the determined probabilities as the actual diagnostic state of the monitored system.
    • 提供了一种用于融合多个独立诊断以产生被监视系统的组合信念状态的方法。 执行多个自检诊断程序的预定诊断状态。 每个独立的例程都会为受监视的系统生成相应的置信结果状态。 相关信念向量被形成为信念结果的函数。 提供了包括多个子状态空间的状态空间。 每个子状态空间代表被监视系统的预定诊断状态。 信任向量被分配给状态空间的子状态空间。 与每个子状态空间相关的信念向量融合。 确定每个融合子状态空间的组合置信值。 响应于所确定的概率来指示具有最高组合置信值的子状态空间作为被监视系统的实际诊断状态。
    • 80. 发明授权
    • Brake pad prognosis system
    • 制动垫预后系统
    • US07694555B2
    • 2010-04-13
    • US12036675
    • 2008-02-25
    • Mark N. HowellJohn P. Whaite, Jr.Phanu AmatyakulYuen-Kwok ChinMutasim A. SalmanChih-Hung YenMark T. Riefe
    • Mark N. HowellJohn P. Whaite, Jr.Phanu AmatyakulYuen-Kwok ChinMutasim A. SalmanChih-Hung YenMark T. Riefe
    • G01M17/00
    • B60T17/221F16D2066/006
    • A method for providing an estimate of brake pad thickness. The method employs fusion of sensors, if used, and driver brake modeling to predict the vehicle brake pad life. An algorithm is employed that uses various inputs, such as brake pad friction material properties, brake pad cooling rate, brake temperature, vehicle mass, road grade, weight distribution, brake pressure, brake energy, braking power, etc. to provide the estimation. The method calculates brake work using total work minus losses, such as aerodynamic drag resistance, engine braking and/or braking power as braking torque times velocity divided by rolling resistance to determine the brake rotor and lining temperature. The method then uses the brake temperature to determine the brake pad wear, where the wear is accumulated for each braking event. A brake pad sensor can be included to provide one or more indications of brake pad thickness from which the estimation can be revised.
    • 一种用于提供制动衬块厚度的估计的方法。 该方法采用传感器的融合(如果使用),以及驾驶员制动器建模来预测车辆刹车片的寿命。 采用了诸如刹车片摩擦材料特性,刹车片冷却速度,制动温度,车辆质量,道路等级,重量分配,制动压力,制动能量,制动功率等各种输入的算法来提供估计。 该方法通过制动转矩乘以速度除以滚动阻力来确定制动转子和衬里温度,使用总工作减去损耗(如气动阻力,发动机制动和/或制动功率)来计算制动作业。 然后,该方法使用制动器温度来确定制动片磨损,其中每次制动事件都会累积磨损。 可以包括制动衬块传感器以提供制动衬块厚度的一个或多个指示,从中可以修改估计值。