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公开(公告)号：US4841820A
公开(公告)日：1989-06-27
申请号：US239806
申请日：1988-09-02
Applicant: Brian D. Kaminski , Pulak Bandyopadhyay
Inventor： Brian D. Kaminski , Pulak Bandyopadhyay
IPC: B23D37/00
CPC classification number: B23D37/005 , B23D43/02 , Y10T407/1685 , Y10T409/400175 , Y10T409/4035 , Y10T82/10 , Y10T82/19
Abstract: An improved cutting tooth configuration in which, unlike the conventional, straight line tool pattern with its constant tool rise, each tooth is incrementally advanced relative to the prior tooth by an amount that progressively decreases. This accounts for the variations in reaction force on the cutting teeth caused by workpiece deflections, so that the net thickness of material removed by each cutting tooth remains relatively constant. Instability and variation in the cutting force is thereby avoided, and tool wear is decreased.
Abstract translation: 一种改进的切割齿构造，其中与常规的具有恒定刀具上升的直线工具图案不同，每个齿相对于先前的齿逐渐递增一个逐渐减小的量。 这考虑了由工件偏转引起的对切削齿的反作用力的变化，使得由每个切削齿移除的材料的净厚度保持相对恒定。 因此避免了切割力的不稳定性和变化，并且减少了工具磨损。
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公开(公告)号：US4784534A
公开(公告)日：1988-11-15
申请号：US37660
申请日：1987-04-13
Applicant: Brian D. Kaminski , Pulak Bandyopadhyay
Inventor： Brian D. Kaminski , Pulak Bandyopadhyay
CPC classification number: B23D37/005 , B23D43/02 , Y10T407/15 , Y10T407/1685 , Y10T82/19
Abstract: An improved cutting tooth configuration in which, unlike the conventional, straight line tool pattern with its constant tool rise, each tooth is incrementally advanced relative to the prior tooth by an amount that progressively decreases. This accounts for the variations in reaction force on the cutting teeth caused by workpiece deflections, so that the net thickness of material removed by each cutting tooth remains relatively constant. Instability and variation in the cutting force are thereby avoided, and tool wear is decreased.
Abstract translation: 一种改进的切割齿构造，其中与常规的具有恒定刀具上升的直线工具图案不同，每个齿相对于先前的齿逐渐递增一个逐渐减小的量。 这考虑了由工件偏转引起的对切削齿的反作用力的变化，使得由每个切削齿移除的材料的净厚度保持相对恒定。 因此避免了切割力的不稳定性和变化，并且减少了工具磨损。
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公开(公告)号：US4845763A
公开(公告)日：1989-07-04
申请号：US118277
申请日：1987-11-06
Applicant: Pulak Bandyopadhyay , Dwight A. Blaser , Brian D. Kaminski , Yong H. Lee
Inventor： Pulak Bandyopadhyay , Dwight A. Blaser , Brian D. Kaminski , Yong H. Lee
CPC classification number: G01B11/24 , B23Q17/0909 , B23Q17/0928 , B23Q17/249
Abstract: The disclosure reveals a computer vision technique to measure flank and crater wear of a single point cutting tool. This direct tool wear measurement method uses a microscope mounted camera to acquire an image of the tool. Special lighting of a face of the tool shows contrast of the wear region in the image. The image analysis is based on an interactive procedure utilizing a general purpose image processing system. A computer program calculates ten parameters to characterize flank and crater wear.
Abstract translation: 本公开揭示了计算机视觉技术来测量单点切割工具的侧面和火山口磨损。 这种直接的工具磨损测量方法使用显微镜摄像机来获取工具的图像。 工具面部的特殊照明显示图像中磨损区域的对比度。 图像分析基于利用通用图像处理系统的交互过程。 计算机程序计算十个参数来表征侧面和火山口磨损。
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公开(公告)号：US08466696B2
公开(公告)日：2013-06-18
申请号：US13075499
申请日：2011-03-30
Applicant: Asim Tewari , Deepika Sachdeva , Kiran Deshpande , Arun M. Kumar , Pulak Bandyopadhyay , Jon T. Carter
Inventor： Asim Tewari , Deepika Sachdeva , Kiran Deshpande , Arun M. Kumar , Pulak Bandyopadhyay , Jon T. Carter
IPC: G01R27/08
CPC classification number: G01N17/02
Abstract: A system may be used to detect corrosion between a first metal and a second metal, where the second metal is positioned adjacent to the first metal. The system may include a processor electrically coupled to each of the first and the second metals and configured to monitor a complex impedance between the first metal and the second metal, where the complex impedance may include a real component and an imaginary component. The processor may compare the real component of the complex impedance to a first threshold, compare the imaginary component of the complex impedance to a second threshold, and indicate a likelihood of corrosion if at least one of the real and imaginary components are below their respective threshold.
Abstract translation: 可以使用系统来检测第一金属和第二金属之间的腐蚀，其中第二金属被定位成与第一金属相邻。 该系统可以包括电耦合到第一和第二金属中的每一个并被配置为监测第一金属和第二金属之间的复阻抗的处理器，其中复阻抗可以包括实部分量和虚分量。 处理器可以将复阻抗的实际分量与第一阈值进行比较，将复阻抗的虚分量与第二阈值进行比较，并且如果实部和虚部中的至少一个低于其相应的阈值，则指示腐蚀的可能性 。
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5.发明授权Aggregated information fusion for enhanced diagnostics, prognostics and maintenance practices of vehicles 有权综合信息融合，用于增强车辆的诊断，预测和维护实践公开(公告)号：US08095261B2
公开(公告)日：2012-01-10
申请号：US12398895
申请日：2009-03-05
Applicant: Mark N. Howell , Mutasim A. Salman , Xidong Tang , Yilu Zhang , Xiaodong Zhang , Yuen-Kwok Chin , Soumen De , Debprakash Patnaik , Sabyasachi Bhattacharya , Pulak Bandyopadhyay , Balarama V. Murty , Ansaf I. Alrabady , Rami I. Debouk , Steven W. Holland , George Paul Montgomery, Jr.
Inventor： Mark N. Howell , Mutasim A. Salman , Xidong Tang , Yilu Zhang , Xiaodong Zhang , Yuen-Kwok Chin , Soumen De , Debprakash Patnaik , Sabyasachi Bhattacharya , Pulak Bandyopadhyay , Balarama V. Murty , Ansaf I. Alrabady , Rami I. Debouk , Steven W. Holland , George Paul Montgomery, Jr.
CPC classification number: G05B19/0428 , G05B2219/24069 , G05B2219/24216 , G05B2219/2637 , G07C5/008 , G07C5/085
Abstract: A system and method for enhancing vehicle diagnostic and prognostic algorithms and improving vehicle maintenance practices. The method includes collecting data from vehicle components, sub-systems and systems, and storing the collected data in a database. The collected and stored data can be from multiple sources for similar vehicles or similar components and can include various types of trouble codes and labor codes as well as other information, such as operational data and physics of failure data, which are fused together. The method generates classes for different vehicle components, sub-systems and systems, and builds feature extractors for each class using data mining techniques of the data stored in the database. The method also generates classifiers that classify the features for each class. The feature extractors and feature classifiers are used to determine when a fault condition has occurred for a vehicle component, sub-system or system.
Abstract translation: 一种用于增强车辆诊断和预测算法并改进车辆维护实践的系统和方法。 该方法包括从车辆部件，子系统和系统收集数据，以及将收集的数据存储在数据库中。 收集和存储的数据可以来自类似车辆或类似部件的多个来源，并且可以包括各种类型的故障代码和劳动代码以及其它信息，诸如故障数据的操作数据和物理学，它们被融合在一起。 该方法为不同车辆组件，子系统和系统生成类，并使用存储在数据库中的数据的数据挖掘技术为每个类构建特征提取器。 该方法还生成为每个类分类功能的分类器。 特征提取器和特征分类器用于确定车辆部件，子系统或系统何时发生故障状况。
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Patent Agency Ranking
公开(公告)号：US07398179B2
公开(公告)日：2008-07-08
申请号：US11203819
申请日：2005-08-15
Applicant: John S. Agapiou , Robert K. Aas , Pulak Bandyopadhyay
Inventor： John S. Agapiou , Robert K. Aas , Pulak Bandyopadhyay
IPC: G01B7/008
CPC classification number: G01B21/04
Abstract: A system, method, and apparatus are provided for prioritizing the measurements made on manufactured parts while maintaining specified part quality standards. According to the method, system and apparatus, the process used by the CMM is modified so that the number of measurements made is reduced in accordance with the results of the analysis provided herein. A CMM apparatus is modified in accordance with the analysis results. A method for part measurement prioritization in a measuring system and method includes describing a set of features to be measured on a plurality of substantially identical parts, separating the set of features into sensitive features and non-sensitive features, dividing the non-sensitive features into a plurality of groups, and prioritizing the part measurements to measure the sensitive features and provide alternating measurements of the non-sensitive features.
Abstract translation: 提供了一种系统，方法和装置，用于在保持指定的部件质量标准的同时对制造的部件进行的测量进行优先级排序。 根据该方法，系统和装置，修改由CMM使用的过程，以便根据本文提供的分析结果减少所测量的数量。 根据分析结果修改CMM装置。 一种测量系统和方法中的部分测量优先级的方法包括描述在多个基本上相同的部分上要测量的一组特征，将特征集合分为敏感特征和非敏感特征，将非敏感特征分成 多个组，并且优先考虑部分测量以测量敏感特征并提供非敏感特征的交替测量。
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公开(公告)号：US20130231826A1
公开(公告)日：2013-09-05
申请号：US13409915
申请日：2012-03-01
Applicant: Yilu ZHANG , Mutasim A. Salman , Xiaofeng Mao , Fan Bai , Xinyu Du , Bo Yu , Pulak Bandyopadhyay
Inventor： Yilu ZHANG , Mutasim A. Salman , Xiaofeng Mao , Fan Bai , Xinyu Du , Bo Yu , Pulak Bandyopadhyay
IPC: G06F7/00
Abstract: A method includes collecting state of health (SOH) data and usage data from a plurality of vehicles. A peer group is identified among the vehicles. A vehicle health prognosis is generated for each vehicle of the peer based on the collected SOH and usage data. The vehicles of the peer group are ranked based on the generated vehicle health prognosis and the rank is reported to an output device that is associated with each vehicle or with a user of each vehicle. If evaluation of the ranking indicates that the health prognosis of a vehicle of the peer group is improvable by modifying vehicle usage, an alert is issued to a user of that vehicle.
Abstract translation: 一种方法包括从多个车辆收集健康状况（SOH）数据和使用数据。 车辆之间确定了一个同伴群体。 基于收集的SOH和使用数据，为对等体的每个车辆生成车辆健康预测。 基于生成的车辆健康预测对等体组的车辆进行排名，并且将该等级报告给与每个车辆或每个车辆的用户相关联的输出设备。 如果评价的评价表示通过修改车辆使用可以改善对等体组的车辆的健康预测，则向该车辆的用户发出警报。
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8.发明申请公开(公告)号：US20120290168A1
公开(公告)日：2012-11-15
申请号：US13104629
申请日：2011-05-10
Applicant: Soumen De , Pattada A. Kallappa , Pulak Bandyopadhyay , Siddhartha Mukhopadhyay , Somnath Sengupta , Alok Kanti Deb
Inventor： Soumen De , Pattada A. Kallappa , Pulak Bandyopadhyay , Siddhartha Mukhopadhyay , Somnath Sengupta , Alok Kanti Deb
CPC classification number: G05B17/02 , G05B21/02 , G05B23/0254
Abstract: A method and system for using Equivalent Time Sampling to improve the effective sampling rate of sensor data, and using the improved-resolution data for diagnosis and control. Data samples from existing sensors are provided, where the sampling rate of the existing sensors is not sufficient to accurately characterize the parameters being measured. High-resolution data sets are reconstructed using Equivalent Time Sampling. High-resolution input data sets are used in a system model to simulate the performance of the system being measured. Results from the system model, and high-resolution output data sets from Equivalent Time Sampling, are provided to an estimator, which provides accurate estimation of measured quantities and estimation of quantities not measured. Output from the estimator is used for fault diagnosis and control of the system being measured.
Abstract translation: 一种使用等效时间采样来提高传感器数据有效采样率的方法和系统，并使用改进的分辨率数据进行诊断和控制。 提供来自现有传感器的数据样本，其中现有传感器的采样速率不足以准确地表征所测量的参数。 使用等效时间采样重建高分辨率数据集。 在系统模型中使用高分辨率输入数据集来模拟被测系统的性能。 来自系统模型的结果和等效时间采样的高分辨率输出数据集提供给估计器，该估计器提供测量量的准确估计和未测量的量的估计。 估计器的输出用于正在测量的系统的故障诊断和控制。
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公开(公告)号：US20120116630A1
公开(公告)日：2012-05-10
申请号：US12943261
申请日：2010-11-10
Applicant: Mark N. Howell , Mutasim A. Salman , Xidong Tang , Yilu Zhang , Soumen De , Sugato Chakrabarty , Rahul Chougule , Pulak Bandyopadhyay , Steven W. Holland
Inventor： Mark N. Howell , Mutasim A. Salman , Xidong Tang , Yilu Zhang , Soumen De , Sugato Chakrabarty , Rahul Chougule , Pulak Bandyopadhyay , Steven W. Holland
IPC: G06F19/00
CPC classification number: G06Q10/0639
Abstract: A method is provided for enhancing service diagnostics utilizing service repair data of previously serviced vehicles. Service repair data of previously serviced vehicles is obtained from a memory storage device. The service data is compiled into a service diagnostic code dataset and a service labor code dataset. The service diagnostic code dataset and service labor code dataset are categorized into an electronic data table. Respective combinations are formed in the electronic data table. An aggregate count is determined for each respective combination in the electronic data table. Either of a respective diagnostic code or a respective service labor code is identified having a correlation with more than one of either service diagnostic codes or service labor codes. At least one of a service repair procedure used to repair the vehicle or a respective service diagnostic code used to identify the fault is modified in response to analyzing the respective combinations.
Abstract translation: 提供了一种利用先前服务车辆的维修数据来增强服务诊断的方法。 从存储器存储装置获得先前服务车辆的维修数据。 服务数据被编译成服务诊断代码数据集和服务人工代码数据集。 服务诊断码数据集和服务人工代码数据集分为电子数据表。 在电子数据表中形成各种组合。 为电子数据表中的每个组合确定聚合计数。 识别与诊断代码或服务劳动代码中的多于一个的相关性的各个诊断代码或相应的服务劳工代码。 响应于分析各个组合，修改用于修理车辆的维修程序中的至少一个或用于识别故障的相应服务诊断代码。
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公开(公告)号：US20110238258A1
公开(公告)日：2011-09-29
申请号：US12730883
申请日：2010-03-24
Applicant: Satnam Singh , Rahul Chougule , Pulak Bandyopadhyay
Inventor： Satnam Singh , Rahul Chougule , Pulak Bandyopadhyay
CPC classification number: G07C5/0808
Abstract: Systems and methods for capturing and analyzing significant parameter data from vehicle systems whenever a diagnostic trouble code (DTC) is triggered. A multi-dimensional matrix is constructed, with vehicles, DTCs, and parameter data comprising three dimensions of the matrix. The data matrix is populated with DTC and parameter data from many different vehicles, either when vehicles are taken to a dealer for service, or via wireless data download. Time can be added as a fourth dimension of the matrix, providing an indication of whether a particular system or component is temporally degrading. When sufficient data is accumulated, the data matrix is pre-processed, features are extracted from the data, and the features are classified, using a variety of mathematical techniques. Trained classifiers are then used to diagnose the root cause of any particular fault signal, and also to provide a prognosis of system health and remaining useful life.
Abstract translation: 每当触发诊断故障代码（DTC）时，从车辆系统捕获和分析重要参数数据的系统和方法。 构建多维矩阵，其中车辆，DTC和包括矩阵三维的参数数据。 当车辆被送往经销商进行维修或通过无线数据下载时，数据矩阵中填充有来自许多不同车辆的DTC和参数数据。 时间可以作为矩阵的第四维度添加，提供特定系统或组件是否在时间上有所降低的指示。 当累积足够的数据时，数据矩阵被预处理，从数据中提取特征，并且使用各种数学技术对特征进行分类。 然后训练分类器用于诊断任何特定故障信号的根本原因，并且还提供系统健康和剩余使用寿命的预后。
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