公开(公告)号：US20240311222A1

公开(公告)日：2024-09-19

申请号：US18182448

申请日：2023-03-13

申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION

发明人： Matthew Doyle ,  Patrick Fiske ,  Rodolfo Lopez ,  Sneha U. Kadam

IPC分类号： G06F11/20 ,  G06F11/07 ,  G06F11/22

CPC分类号： G06F11/2023 ,  G06F11/076 ,  G06F11/0772 ,  G06F11/2263

摘要： A method, computer system, and a computer program product for computer memory structural analysis are provided. A processor receives test results that indicate baseline interface voltage level that is from a transient data transmission and is measured at the computer memory. In response to detecting, via the processor, that the test results indicate a baseline wander for the baseline interface voltage level of the computer memory, the processor generates, based on the baseline wander, an identification of an associated structural communication flaw of the computer memory and a compensation recommendation for compensative for the structural flaw. The processor transmits the compensation recommendation for presentation of the compensation recommendation.

公开(公告)号：US11762752B2

公开(公告)日：2023-09-19

申请号：US17725055

申请日：2022-04-20

申请人： EMC IP Holding Company LLC

发明人： Rômulo Teixeira de Abreu Pinho ,  Vitor Silva Sousa ,  Rodrigo Rios Almeida de Souza ,  Roberto Nery Stelling Neto

IPC分类号： G06F11/00 ,  G06F11/34 ,  G06N20/00 ,  G06F11/30 ,  G06F11/22 ,  G06F18/22 ,  G06F18/24

CPC分类号： G06F11/3409 ,  G06F11/22 ,  G06F11/2263 ,  G06F11/30 ,  G06F11/3065 ,  G06F11/3452 ,  G06F11/3495 ,  G06F18/22 ,  G06F18/24 ,  G06N20/00

摘要： Facilitating detection of anomalies of a target entity is provided herein. A system can comprise a processor and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations. The operations can comprise training a model on a first set of variables that are constrained by a second set of variables. The second set of variables can characterize elements of a defined entity. The first set of variables can define a normality of the defined entity. The operations also can comprise employing the model to identify expected parameters and unexpected parameters associated with the defined entity to at least a defined level of confidence.

公开(公告)号：US20230267032A1

公开(公告)日：2023-08-24

申请号：US18310288

申请日：2023-05-01

申请人： BMC Software, Inc.

发明人： Nigel Slinger ,  Wenjie Zhu

IPC分类号： G06F11/07 ,  G06F11/30 ,  G06N20/00 ,  G06F11/32 ,  G06F11/34 ,  G06F11/22

CPC分类号： G06F11/079 ,  G06F11/0772 ,  G06F11/3006 ,  G06N20/00 ,  G06F11/327 ,  G06F11/3409 ,  G06F11/3075 ,  G06F11/2263

摘要： An event graph schema for a technology landscape may be determined, where the technology landscape is characterized using scores assigned to performance metrics. The event graph schema may include a plurality of nodes corresponding to the performance metrics and the scores, and directional edges connecting node pairs of the plurality of nodes, with each directional edge having a score-dependent validity criteria defined by scores of a corresponding node pair. Anomalous scores associated with an event within the technology landscape may be used to find anomalous nodes. Valid edges connecting two of the anomalous nodes and satisfying the score-dependent validity criteria thereof may be used to determine at least one path that includes the valid edges and connected anomalous nodes. In this way, it is possible to traverse the at least one path to identify at least one of the connected anomalous nodes as a root cause node of the event.

公开(公告)号：US20190129819A1

公开(公告)日：2019-05-02

申请号：US15794988

申请日：2017-10-26

申请人： International Business Machines Corporation

发明人： Shi Jing Guo ,  Xiang Li ,  Hai Feng Liu ,  Jing Mei ,  Zhi Qiao ,  Guo Tong Xie ,  Shi Wan Zhao

IPC分类号： G06F11/22 ,  G06F11/263 ,  G06N3/04 ,  G06N3/08

CPC分类号： G06F11/2263 ,  G06F11/263 ,  G06N3/0445 ,  G06N3/0454 ,  G06N3/08

摘要： A method and system of imputing corrupted sequential data is provided. A plurality of input data vectors of a sequential data is received. For each input data vector of the sequential data, the input data vector is corrupted. The corrupted input data vector is mapped to a staging hidden layer to create a staging vector. The input data vector is reconstructed based on the staging vector, to provide an output data vector. adjusted parameter of the staging hidden layer is iteratively trained until it is within a predetermined tolerance of a loss function. A next input data vector of the sequential data is predicted based on the staging vector. The predicted next input data vector is stored.

公开(公告)号：US20080091715A1

公开(公告)日：2008-04-17

申请号：US11755898

申请日：2007-05-31

申请人： Weizhong Yan ,  Anil Varma ,  Piero Bonissone

发明人： Weizhong Yan ,  Anil Varma ,  Piero Bonissone

IPC分类号： G06F17/30

CPC分类号： G06F11/2263

摘要： A method and system for creating healthy operating envelope from only data samples obtained during normal operation/behavior of dynamic systems is provided. This method determines healthy operating envelope by clustering a stream of discrete event code sequences from the underlying system under normal operation condition only. The method is unsupervised, that is, requiring no prior knowledge of event code patterns corresponding to different operation conditions. Such created envelope can be used for fault detection and health monitoring of dynamic systems.

摘要翻译： 提供了一种从动态系统的正常操作/行为中获得的数据样本创建健康操作包络的方法和系统。 该方法通过在正常操作条件下聚类来自底层系统的离散事件代码序列流来确定健康操作包络。 该方法是无监督的，也就是说，不需要事先知道与不同操作条件对应的事件代码模式。 这种创建的信封可用于动态系统的故障检测和健康监测。

公开(公告)号：US06625569B2

公开(公告)日：2003-09-23

申请号：US10092471

申请日：2002-03-06

申请人： Mark L. James ,  Ryan M. E. Mackey ,  Han G. Park ,  Michail Zak

发明人： Mark L. James ,  Ryan M. E. Mackey ,  Han G. Park ,  Michail Zak

IPC分类号： G06F1700

CPC分类号： G05B23/0254 ,  G05B17/02 ,  G06F11/2263 ,  G06K9/00536

摘要： A general method of anomaly detection from time-correlated sensor data is disclosed. Multiple time-correlated signals are received. Their cross-signal behavior is compared against a fixed library of invariants. The library is constructed during a training process, which is itself data-driven using the same time-correlated signals. The method is applicable to a broad class of problems and is designed to respond to any departure from normal operation, including faults or events that lie outside the training envelope.

公开(公告)号：US06556951B1

公开(公告)日：2003-04-29

申请号：US09555325

申请日：2000-06-16

申请人： James M. Deleo ,  Alan T. Remaley

发明人： James M. Deleo ,  Alan T. Remaley

IPC分类号： G06F1500

CPC分类号： G16H50/20 ,  G06F11/2263 ,  G06F19/00 ,  G16H10/20

摘要： A method and system for detecting errors in a process such as laboratory analysis of patient specimens and generation of test results is described. The steps of the method include collecting data elements having a range of values from the process. The number of data elements having values within predetermined intervals of the range are then counted. The counts of the data elements are applied as inputs to nodes of a neural network, each count being applied to a node representing the predetermined interval corresponding to the count. Output is then generated from the neural network based on the inputs, the output indicative of whether an error in the process (such as bias error or a precision error) has occurred. If the technology is used with a laboratory instrument, the output is generated in real time and available immediately for automatic or manual correction of the instrument.

摘要翻译： 描述了用于检测诸如患者标本的实验室分析和测试结果的产生的过程中的错误的方法和系统。 该方法的步骤包括收集具有来自该过程的值范围的数据元素。 然后对具有在该范围的预定间隔内的值的数据元素的数量进行计数。 数据元素的计数被应用为神经网络的节点的输入，每个计数被应用于表示与计数相对应的预定间隔的节点。 然后基于输入从神经网络生成输出，指示是否发生了过程中的错误（例如偏差误差或精度误差）的输出。 如果技术与实验室仪器一起使用，则输出会实时生成并立即可用于仪器的自动或手动校正。

公开(公告)号：US12044595B2

公开(公告)日：2024-07-23

申请号：US17763494

申请日：2021-01-13

申请人： SOOCHOW UNIVERSITY

发明人： Changqing Shen ,  Shuangjie Liu ,  Xu Wang ,  Dong Wang ,  Yongjun Shen ,  Zaigang Chen ,  Aiwen Zhang ,  Xingxing Jiang ,  Juanjuan Shi ,  Weiguo Huang ,  Jun Wang ,  Guifu Du ,  Zhongkui Zhu

IPC分类号： G06F11/22 ,  G01M13/045 ,  G06N3/0464 ,  G06N3/08

CPC分类号： G01M13/045 ,  G06F11/2263 ,  G06N3/0464 ,  G06N3/08

摘要： The present invention provides a dynamic joint distribution alignment network-based bearing fault diagnosis method under variable working conditions, including acquiring bearing vibration data under different working conditions to obtain a source domain sample and a target domain sample; establishing a deep convolutional neural network model with dynamic joint distribution alignment; feeding both the source domain sample and the target domain sample into the deep convolutional neural network model with initialized parameters, and extracting, by a feature extractor, high-level features of the source domain sample and the target domain sample; calculating a marginal distribution distance and a conditional distribution distance; obtaining a joint distribution distance according to the marginal distribution distance and the conditional distribution distance, and combining the joint distribution distance and a label loss to obtain a target function; and optimizing the target function by using SGD, and training the deep convolutional neural network model.

公开(公告)号：US12001274B2

公开(公告)日：2024-06-04

申请号：US17826124

申请日：2022-05-26

申请人： STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY

发明人： Si Sun ,  Forrestt Severtson

IPC分类号： G06F11/00 ,  G06F11/07 ,  G06F11/22 ,  G06F11/34 ,  G06N5/04 ,  G06N20/00

CPC分类号： G06F11/079 ,  G06F11/0751 ,  G06F11/0778 ,  G06F11/2263 ,  G06F11/3438 ,  G06N5/04 ,  G06N20/00

摘要： The following relates generally to diagnosing problems with websites. In some embodiments, a webpage interaction processor receives a list of potential user experience problems. The webpage interaction processor then extracts click data from the website, and processes the extracted click data into grams. Subsequently, an analytics engine is trained based on the processed click data. The trained analytics engine may then diagnose the problem of the website with a potential user experience problem from the received list of potential user experience problems. In some embodiments, the process is entirely automated.

公开(公告)号：US11874728B2

公开(公告)日：2024-01-16

申请号：US16903033

申请日：2020-06-16

申请人： SAP SE

发明人： Tobias Moessle

IPC分类号： G06F11/00 ,  G06F11/07 ,  G06N20/00 ,  G06F16/245 ,  G06F16/242 ,  G06N5/04 ,  G06F11/22

CPC分类号： G06F11/079 ,  G06F11/0709 ,  G06F11/0751 ,  G06F11/0769 ,  G06F11/0787 ,  G06F11/2257 ,  G06F11/2263 ,  G06F16/242 ,  G06F16/245 ,  G06N5/04 ,  G06N20/00

摘要： A diagnostics tool aids in the efficient collection of relevant error data for addressing faults in connected software systems. Context information is collected from a software system that is being displayed. Configuration of the software system is collected, and used to identify relevant connected software systems. Error data is collected via respective log interfaces from the error logs of the software system being displayed, and relevant connected systems. The context, configuration, and error data is stored in a database. Based at least upon the configuration information, a query is formulated and posed to the database. A corresponding query result is received and processed to return an error report to a user interface, for inspection (e.g., by a user or a support staff member). Certain embodiments may further generate an appropriate recommendation based upon the query result. The recommendation may be generated with reference to a stored ruleset and/or artificial intelligence.