Approach to determining a remaining useful life of a system

    公开(公告)号:US12130616B2

    公开(公告)日:2024-10-29

    申请号:US17358260

    申请日:2021-06-25

    IPC分类号: G05B23/02 G06N3/045 G06N3/08

    摘要: Systems and methods for determining a remaining useful life of a system. The system and method include one or more processors; a memory coupled to the one or more processors; a data acquisition unit configured to receive run-to-failure time series data; a neural network training unit configured to train a neural network model to determine a point in time that a health index changes from a healthy stage to a degradation stage; a remaining useful life estimation unit configured to estimate a first remaining useful life of the system based on the point in time; estimate a second remaining useful life of the system by converting a feature representation output by the second neural network; minimize the difference between the first remaining useful life and the second remaining useful life; classify the health stage based on a probability; and an output unit configured to send a warning to a user.

    High dynamic range distributed temperature sensing (DTS) using photon counting detection

    公开(公告)号:US12130189B2

    公开(公告)日:2024-10-29

    申请号:US17191622

    申请日:2021-03-03

    发明人: Qiang Wang Yaowen Li

    IPC分类号: G01K11/324 G01J3/44

    CPC分类号: G01K11/324 G01J3/44

    摘要: Aspects of the present disclosure describe distributed fiber optic sensing systems (DFOSa), methods, and structures for distributed temperature sensing (DTS) that 1) employs a GmAPD instead of a traditional LmAPD detector which advantageously produces a 10˜20 dB gain improvement of SNR for a far-end weak signal, thereby improving long range detectability; 2) employs an inventive gating scheme that advantageously and surprisingly overcomes the “dead time” problem for GmAPD working in SPC mode that plagues Geiger mode operation; and 3) third, employs an inventive post-processing technique that advantageously allows our methods to correct any dark noise caused signal distortion.

    TEMPORAL GRAPH-BASED INCIDENT ANALYSIS AND CONTROL IN CYBER PHYSICAL SYSTEMS

    公开(公告)号:US20240354184A1

    公开(公告)日:2024-10-24

    申请号:US18594487

    申请日:2024-03-04

    IPC分类号: G06F11/07

    摘要: Systems and methods are provided for incident analysis in Cyber-Physical Systems (CPS) using a Temporal Graph-based Incident Analysis System (TGIAS) and/or Transition Based Categorical Anomaly Detection (TCAD). Dynamically gathered multimodal data from a distributed network of sensors across the CPS are preprocessed to identify abnormal sensor readings indicative of potential incidents, and a multi-layered incident timeline graph, representing abnormal sensor readings, relationships to specific CPS components, and temporal sequencing of events is constructed. Severity scores are calculated, and severity rankings are assigned to identified anomalies based on a composite index including impact on CPS operation, comparison with historical incident data, and predictive risk assessments. Probable root causes of incidents and pathways for anomaly propagation through the CPS are identified using causal interference and the incident timeline graph to detect underlying vulnerabilities and predict future system weaknesses. Recommended actions are generated and executed for incident resolution and system optimization.

    APPLICATION-IN-A-BOX FOR DEPLOYMENT AND SELF-OPTIMIZATION OF REMOTE APPLICATIONS

    公开(公告)号:US20240314531A1

    公开(公告)日:2024-09-19

    申请号:US18605105

    申请日:2024-03-14

    IPC分类号: H04W4/50 H04W24/02 H04W72/52

    CPC分类号: H04W4/50 H04W24/02 H04W72/52

    摘要: Systems and methods are provided for deploying applications within a wireless network infrastructure, including initiating, by a centralized control module in a pre-configured hardware unit having a 5G wireless communication module, edge computing device, centralized control module, and data processing module with access to cloud resources, a setup procedure upon receiving a deployment command, the setup procedure including activating the 5G wireless communication module to establish a network connection. User equipment for communication with sensors and cameras is deployed using an edge device through the network connection. Application deployment is managed using a centralized control module including an edge cloud optimizer for allocating resources between an edge computing device and the cloud resources based on real-time analysis of network conditions and application requirements. Computing resource allocation between the edge computing device and cloud resources is dynamically adjusted for application requirements and network conditions during automated application deployment and optimization.

    AUTOMATIC CALIBRATION FOR BACKSCATTERING-BASED DISTRIBUTED TEMPERATURE SENSOR

    公开(公告)号:US20240302225A1

    公开(公告)日:2024-09-12

    申请号:US18598386

    申请日:2024-03-07

    IPC分类号: G01K15/00 G01K11/32

    CPC分类号: G01K15/005 G01K11/32

    摘要: Disclosed are vehicle-infrastructure interaction systems and methods employing a distributed fiber optic sensing (DFOS) system operating with pre-deployed fiber-optic telecommunication cables buried alongside/proximate to highways/roadways which provide 24/7 continuous information stream of vehicle traffic at multiple sites; only require a single optical sensor cable that senses/monitors multiple locations of interest and multiple lanes of traffic; the single optical sensor cable measures multiple related information (multi-parameters) about a vehicle, including driving speed, wheelbase, number of axles, tire pressure, and others, that can be used to derive secondary information such as weight-in-motion; and overall information about a fleet of vehicles, such as traffic congestion or traffic-cargo volume. Different from merely traffic counts, our approach can provide the count grouped by vehicle-types and cargo weights. Precise measurements are facilitated by high temporal sampling rates of the distributed acoustic sensing and a dedicated peak finding algorithm for extracting the timing information reliably.

    SUMMARIZING PREVALENT OPINIONS FOR MEDICAL DECISION-MAKING

    公开(公告)号:US20240274251A1

    公开(公告)日:2024-08-15

    申请号:US18439274

    申请日:2024-02-12

    发明人: Christopher Malon

    摘要: Methods and systems for document summarization include splitting documents into sentences and sorting the sentences by a metric that promotes review opinion prevalence from the documents to generate a ranked list of sentences. Groups of sentences with similar embeddings are formed and a trained generalization encoder-decoder model is applied to output a common generalization of the sentences in each group. Sentences are added to a summary from the generalizations corresponding to the sentences in the ranked list, in rank-order, until a target summary length has been reached. An action is performed responsive to the summary.