54 results about "System health monitoring" patented technology

The invention discloses a health monitoring system of a cable system in a cable structure on the basis of strain monitoring; a plurality of times of mechanical calculation is carried out on the basis of the reference model of the mechanical calculation of a structure, the times of the calculation is equal to the number of cables. Supposing that only one cable has unit damage during each calculation, the calculation result of each time constitutes a current strain calculation vector; a strain change vector is obtained by that each current strain calculation vector minus an initial strain vector; all the strain change vectors constitute a unit damage strain change matrix. According to the similar linear relation between the current strain vector (constituted by the current measured strain of all the given points) and the initial strain vector, the unit damage strain change matrix, an unit damage scalar and a current cable damage vector (constituted by current damage amount of all cables), the noninferior solution of the current cable damage vector can be figured out fast by utilizing the suitable algorithms of multi-objective optimization algorithm, etc., therefore, the position and the degree of damage of the damaged cable can be determined accurately.

An efficient method and system for real-time or offline analysis of multivariate sensor data for use in anomaly detection, fault detection, and system health monitoring is provided. Models automatically derived from training data, typically nominal system data acquired from sensors in normally operating conditions or from detailed simulations, are used to identify unusual, out of family data samples (outliers) that indicate possible system failure or degradation. Outliers are determined through analyzing a degree of deviation of current system behavior from the models formed from the nominal system data. The deviation of current system behavior is presented as an easy to interpret numerical score along with a measure of the relative contribution of each system parameter to any off-nominal deviation. The techniques described herein may also be used to “clean” the training data.

An embodiment of the present invention is a method for monitoring various data sources for events indicative of a current or potential system health problem, thereby automating management of system health monitoring, prediction, and notification, and providing the ability to correct said system health issues in the environment of a multiprocessor system.

A nacelle for a turbofan engine includes a variable area fan nozzle (VAFN) and a proximity sensor that is attached to a nacelle forward portion to sense the presence of the VAFN when stowed. The proximity sensor is not attached to the VAFN, thereby enabling the use of a proximity sensor such as linear variable displacement transformer having a relatively compact operational stroke.

The invention discloses a performance parameter based civil aircraft engine starting system health monitoring method and relates to the technical field of equipment state monitoring. On the basis of aircraft QAR data, a performance parameter baseline model of important parameters in a civil aircraft engine starting system is established with a data mining technology; then, a covariance matrix of test samples is calculated; finally, the similarity and the mahalanobis distance between the test samples and the baseline model are obtained with a mahalanobis distance technology, the health state ofthe system is represented with the distance, and the purpose of health monitoring is achieved. The method is applied to the civil aircraft engine starting system, the problem of insufficiency of performance evaluation means of the aircraft engine starting system is solved, the performance state of the engine starting system can be accurately evaluated, early warning is timely given at the early stage of failure of the engine starting system, and unplanned accidents are reduced; and besides, performance evaluation data come from existing civil aircraft QAR data and have higher practicability and operability.

Described are computer-based methods and apparatuses, including computer program products, for system health monitoring. Backup set metadata is received, wherein the backup set metadata comprises information about backup data sets that are received by a backup storage system. One or more processes that process the backup set metadata through an emulated processing flow path are executed, wherein the one or more processes are also implemented in the backup storage system. Two or more potential processing states are determined within the emulated processing flow path. A reason code is determined for each backup set metadata entry of the backup set metadata indicative of a reason that the backup set metadata entry is in a processing state of the two or more potential processing states. A problem with the manner in which the backup set metadata is flowing through the emulated processing flow path is identified based on the reason codes.

The invention discloses a hybrid monitoring based cable system health method applied in supporting seat generalized displacement. The need of updating a mechanical calculation reference model of a structure is decided by monitoring the supporting seat generalized coordinates of the structure, based on hybrid monitoring, and the mechanical calculation reference model of the structure is updated only when the supporting seat generalized coordinates of the structure vary, so that a new mechanical calculation reference model of the structure included in the supporting seat generalized coordinates of the structure is obtained, and a unit damage monitored quantity variance matrix is obtained by calculating on the basis of the model. A noninferior solution of a current cable damage vector can be calculated quickly with appropriate algorithms such as a multi-target optimization algorithm and the like according to approximate linear relations between a current numeric vector of a monitored quantity and an initial vector of the monitored quantity, the unit damage monitored quantity variance matrix, a unit damage scalar quantity and a cable system current damage vector to be resolved, so that the position and damage degree of the damaged cable can be determined accurately relatively when supporting seat generalized displacement occurs.

The invention discloses a space coordinate monitoring based cable system health monitoring method applied in supporting seat generalized displacement. The need of updating a mechanical calculation reference model of a structure is decided by monitoring the supporting seat generalized coordinates of the structure, based on space coordinate monitoring, and the mechanical calculation reference model of the structure is updated only when the supporting seat generalized coordinates of the structure vary, so that a new mechanical calculation reference model of the structure included in the supporting seat generalized coordinates of the structure is obtained, and a unit damage monitored quantity variance matrix is obtained by calculating on the basis of the model. A noninferior solution of a current cable damage vector can be calculated quickly with appropriate algorithms such as a multi-target optimization algorithm and the like according to approximate linear relations between a current numeric vector of a monitored quantity and an initial vector of the monitored quantity, the unit damage monitored quantity variance matrix, a unit damage scalar quantity and a cable system current damage vector to be resolved, so that the position and damage degree of the damaged cable can be determined accurately relatively when supporting seat generalized displacement occurs.

Non-invasive systems and methods monitor network system health by monitoring signals inherently on the network. These signals are deciphered and characterized using Cantor set theory such that a signature of the network is determined. Variations in the characteristics of the reflected signals indicate a network event, such as changes in network topology often due to device degradation, system failure, or physical intrusion. The source of the reflected signals can be characterized and the location on the network identified.

Systems and methods to fuse aviation-related data systems for comprehensive aircraft system health monitoring are provided. One example method includes obtaining, by one or more computing devices, fault data indicative of a plurality of fault indications provided by a first plurality of components of an aircraft. The method includes obtaining, by the one or more computing devices, condition indicators describing the respective operational conditions of a second plurality of components of the aircraft. The method includes fusing, by the one or more computing devices, the fault data with the condition indicators to form a comprehensive data set. The method includes identifying, by the one or more computing devices, one or more causes of the plurality of fault conditions based at least in part on the comprehensive data set. One example system includes a data fuser, a cause identifier, and an alert generator.

The invention provides a remote sensing satellite ground station health monitoring system and method, and the system comprises a data collection and processing unit, a fault diagnosis unit, a full life cycle management unit, a health state monitoring unit, and a health state prediction unit. Acquisition, test, fault and performance analysis of various monitoring data in the remote sensing satellite ground station can be realized so that remote sensing satellite ground station equipment-level, system-level and ground station-level health management can be completed. According to the scheme, a fault diagnosis scheme of the universal remote sensing satellite ground station can be formed, equipment fault full-life-cycle management and system health monitoring and prediction capacity are achieved, it is guaranteed that the system is in a good state, and then the purposes of reducing the maintenance workload and complexity of the remote sensing satellite ground station system and improving the operation efficiency are achieved.

The invention discloses an AADL-based IMA system health monitoring test method, and aims to provide corresponding test requirements for a health monitoring function in IMA fault management, use AADL to model IMA system fault management, provide fault management information for an IMA system test environment, analyze IMA fault management test cases, achieve fault triggering by modifying program codes and configuration, and therefore the health monitoring function is verified.

The invention discloses an angle monitoring based cable system health monitoring method applied in supporting seat generalized displacement. The need of updating a mechanical calculation reference model of a structure is decided by monitoring the supporting seat generalized coordinates of the structure, based on angle monitoring, and the mechanical calculation reference model of the structure is updated only when the supporting seat generalized coordinates of the structure vary, so that a new mechanical calculation reference model of the structure included in the supporting seat generalized coordinates of the structure is obtained, and a unit damage monitored quantity variance matrix is obtained by calculating on the basis of the model. A noninferior solution of a current cable damage vector can be calculated quickly with appropriate algorithms such as a multi-target optimization algorithm and the like according to approximate linear relations between a current numeric vector of a monitored quantity and an initial vector of the monitored quantity, the unit damage monitored quantity variance matrix, a unit damage scalar quantity and a cable system current damage vector to be resolved, so that the position and damage degree of the damaged cable can be determined accurately relatively when supporting seat generalized displacement occurs.

The invention discloses a linear motion system health monitoring method based on spatial domain information, and belongs to the field of electromechanical system health state monitoring. The method comprises the steps: measuring a spatial position signal of a linear motion system, and an electric signal for dragging an AC motor of the linear motion system; converting the electric signal based on the time domain into a space domain; calculating a local characteristic index of the local travel interval and a global characteristic index of the whole motion travel; judging whether the local feature indexes and the global feature indexes exceed corresponding set thresholds or not; if any index exceeds a set threshold value, determining that the linear motion system is in an abnormal state at the corresponding spatial position; and if not, determining that the motion travels of the linear motion system are all in a healthy state. According to the method, the measurement information based onthe time domain is converted into the space domain, the health state of the linear motion system on the whole motion stroke can be comprehensively and accurately reflected, the position where the abnormal state occurs is indicated, and the method has great application value for linear motion system full-stroke monitoring.

A system for reducing an impact of hot spot, pulsing of a semiconductor device including: first generating means for generating a plurality of local op-codes; a sequencer for augmenting customer op-codes with the plurality of local op-codes; selecting means for selecting one or more of the randomly arriving customer op-codes awaiting execution; monitoring means for tracking which of the one or more randomly arriving customer op-codes have been selected; separating means for separating the plurality of local op-codes from the one or more customer op-codes; storing means for storing one or more data related to the processing of the plurality of local op-codes and the customer op-codes; and second generating means for generating an output for a customer corresponding to that customer op-code while gainfully employing an output generated by local op-codes for system health monitoring purpose.

The invention discloses a building health monitoring evaluation system based on BDS/GPS. The building health monitoring evaluation system comprises a BDS monitoring point, a BDS base station, a GPS monitoring point, a GPS base station, a BDS/GPS joint resolving position, the Ethernet, a cloud architecture data center, a decision-making scientific research center, a warning, forecasting and emergency command center and an application terminal. The BDS base station transmits data of the BDS monitoring point to the BDS/GPS joint resolving position, the GPS base station transmits data of the GPS monitoring point to the BDS/GPS joint resolving position, the BDS/GPS joint resolving position transmits the data to the cloud architecture data center, the warning, forecasting and emergency command center and the application terminal through the Ethernet, and the cloud architecture data center transmits the data to the decision-making scientific research center. Compared with single system health monitoring, multi-system combined health monitoring has more advantages in continuity, usability, reliability, accuracy, efficiency and other aspects.

The invention relates to a steel bridge deck pavement system health monitoring system and method based on an acoustic emission technology. The system comprises a steel bridge deck, a steel bridge deck pavement system installed on the top of the steel bridge deck, and a vehicle load wheel track position installed on the top of the steel bridge deck pavement system. The acoustic emission collecting and processing platform is installed at the bottom of the steel bridge deck, an acoustic emission sensor is installed at one end of the acoustic emission collecting and processing platform, and the acoustic emission sensor is located at the bottom of the steel bridge deck. According to the method, data of strain, deflection, temperature sensors and other traditional methods can be combined, pavement layer state data are deeply excavated and reanalyzed, the data are fully utilized, the steel bridge deck pavement system state can be accurately and effectively evaluated and pre-warned, and the construction period is shortened. The problems that an existing real bridge steel bridge deck pavement monitoring system is single in laying sensor monitoring, high in cost, prone to damage, low in data utilization rate, incapable of achieving real-time analysis and early warning of data and the like can be effectively solved.