105 results about "Fault detection and isolation" patented technology

Systems and methods for performing module-based diagnostics are described. In an exemplary embodiment, sensor values from an actual engine plant are input to an engine component quality estimator which generates performance estimates of major rotating components. Estimated performance differences are generating by comparing the generated performance estimates to a nominal quality engine. The estimated performance differences, which are indicative of component quality, are continuously updated and input to a real-time model of the engine. The model receives operating conditional data and the quality estimates are used to adjust the nominal values in the model to more closely match the model values to the actual plant. Outputs from the engine model are virtual parameters, such as stall margins, specific fuel consumption, and fan / compressor / turbine efficiencies. The virtual parameters are combined with the sensor values from the actual engine plant in a fault detection and isolation classifier to identify abnormal conditions and / or specific fault classes, and output a diagnosis.

The present invention provides a device and method for managing fault detection and isolation in voice and data networks. Specifically, the present invention is a device and method for fault detection and fault isolation that can be used to validate connectivity of a central site to a number of connected client devices. The present invention operates stage by stage, working from the central site back to a connected client device. The present invention can be controlled from a central maintenance station and as such does not require direct user enabling. In one embodiment, the present invention provides an intelligent device (e.g., an intelligent data concentrator) for coupling an electronic device to a network comprising a first interface for communicatively coupling the intelligent device to the network and a second interface for communicatively coupling the intelligent device to a plurality of client devices such that the client devices are communicatively coupled to the network. The intelligent device also comprises means for processing and interpreting data coupled to the first interface, and fault detection means coupled to the means for processing and interpreting data, wherein the fault detection means performs fault detection in the network. In one embodiment, the intelligent device operates in conjunction with a central control site in performing fault detection.

A redundant fieldbus system provides power and communications in a parallel physical configuration between the host system and attached field devices irrespective of any single point failure in the network. In case of a fault, the redundant fieldbus system automatically eliminates the faulty section of the network, switches power and communications to the healthy portion of the network and terminates the network for signal integrity. A device coupler for the system may include a fault detector coupled to an auto-termination circuit that terminates a fieldbus cable when a fault is detected. The device coupler may include fault detection and isolation coupled to each set of spur terminals used to connect field devices to the device coupler. A field device for the system may include circuitry for deselecting a faulty cable while maintaining connection to a healthy cable.

A system and method for monitoring a process in a process plant and detecting an abnormal condition includes collecting data representative of the operation of the process, performing a multivariate statistical analysis to represent the operation of the process in a known state based on a set of collected reference data, where the reference data includes a statistical measure of the operation of the process in the known state. The system and method may further include representing the operation of the process in an unknown state based on a set of monitored data, where the monitored data includes a statistical measure of the operation of the process in an unknown state, and using the output of the multivariate statistical analysis as an input, and comparing the process in the unknown state to the multivariate statistical representation of the operation of the process in the known state to determine the operational state of the process.

A system and method for determining the root cause of a fault in a vehicle system, sub-system or component using models and observations. In one embodiment, a hierarchical tree is employed to combine trouble or diagnostic codes from multiple sub-systems and components to get a confidence estimate of whether a certain diagnostic code is accurately giving an indication of problem with a particular sub-system or component. In another embodiment, a hierarchical diagnosis network is employed that relies on the theory of hierarchical information whereby at any level of the network only the required abstracted information is being used for decision making. In another embodiment, a graph-based diagnosis and prognosis system is employed that includes a plurality of nodes interconnected by information pathways. The nodes are fault diagnosis and fault prognosis nodes for components or sub-systems, and contain fault and state-of-health diagnosis and reasoning modules.

The present invention is an I2C (inter-IC control) bridge device which implements a communication protocol layered on top of a standard I2C protocol. The layered protocol used by the bridge device is termed the “Layered I2C Protocol”—abbreviated “LIP”. Thus the bridge device is called a “LIP bridge device”. The LIP bridge device provides I2C address extension, data integrity checking, and fault detection and isolation when inserted between an I2C bus master and it's intended target I2C device. Each LIP bridge device has at least two attached I2C busses—a parent bus and a child bus. The LIP bridge operates as a slave on its parent bus, and a master of its child bus. The Layered I2C protocol is specified to operate on a bus between one or more bus masters and the parent bus of one or more LIP bridge devices. The child bus is used for attaching multiple I2C devices and / or one or more LIP bridge devices. In an exemplary implementation, the LIP bridge device is constructed using a microcontroller to create a LIP bridge device with one parent and one child I2C bus port and a group of LIP bridge configuration pins. The parent bus traffic to a given LIP bridge device consists entirely of LIP packets, and the child bus traffic consists of standard I2C packets to communicate with standard child bus I2C devices. The child bus traffic may also consist of LIP packets to communicate with LIP bridges attached to the child bus. By design, the LIP packets and standard I2C transactions do not interfere with one another. The LIP bridge device interprets LIP command packets from a bus master and translates them into the intended I2C data stream that is then broadcast over the child bus. Likewise, data from the child bus is used to create LIP packets that are returned to the proper bus master. The use of LIP packets on a given I2C bus provides an extra level of I2C addressing.

The present invention is a method for detecting and isolating fault modes in a system having a model describing its behavior and regularly sampled measurements. The models are used to calculate past and present deviations from measurements that would result with no faults present, as well as with one or more potential fault modes present. Algorithms that calculate and store these deviations, along with memory of when said faults, if present, would have an effect on the said actual measurements, are used to detect when a fault is present. Related algorithms are used to exonerate false fault modes and finally to isolate the true fault mode. This invention is presented with application to detection and isolation of thruster faults for a thruster-controlled spacecraft. As a supporting aspect of the invention, a novel, effective, and efficient filtering method for estimating the derivative of a noisy signal is presented.

A system for detecting faults in an optical network having switching nodes and amplifier nodes is provided. According to one aspect of the system, one or more amplifier nodes are coupled between two switching nodes. Each amplifier node is capable of detecting a fault condition, such as a loss-of-signal (LOS) condition, on an incoming line. Upon detecting the LOS condition, the amplifier node generates a fault report which is then forwarded to a switching node. The switching node uses information from the fault report to initiate switching actions, if any, to restore traffic. According to another aspect of the system, each amplifier node is configured to receive a fault report received from another amplifier node and forward such fault report to a switching node. Each amplifier node is further configured to prioritize a fault condition identified in a fault report received from another amplifier node and the fault condition detected on its incoming line.

An in-band fault detection and isolation system and method for networks such as Synchronous Optical Network / Synchronous Digital Hierarchy (SONET / SDH) networks. Fault detection may be quickly and efficiently performed by a network without requiring modification to any add / drop multiplexers (ADMs) and / or without the involvement of an external network management system (NMS). To accomplish this without violating SONET / SDH standards, a new signal, called a fault isolation signal in the path (FIS-P), is proposed. The FIS-P may be used in lieu of an AIS-P to support special applications on certain digital cross connect (DCS)-to-DCS path segments. Moreover, the present invention may be implemented such that the behavior, of path terminating equipment (PTE) is unaffected.

A unified method to detection and isolation of parametric faults in a physical system resulting from variations in the parameters of its constituting subsystems, termed herein as diagnostic parameters, uses Kalman filter residuals. Rather than using the feature vector made of the coefficients of the numerator and denominator of the system transfer function, which is known to be a non-linear function of the diagnostic parameter variations, the method first shows and then exploits, for fault detection purposes, the fact that the Kalman filter residual is a multi-linear function of the deviations in the diagnostic parameters, i.e. the residual is separately linear in each parameter. A fault is then isolated using a Bayesian multiple composite hypotheses testing approach. A reliable map relating the diagnostic parameters to the residual is obtained off-line using fault emulators. The unified fault detection and isolation method is successfully evaluated on both simulated data as well as on real data obtained from a benchmarked laboratory-scale coupled-tank system used to exemplify an industrial two-tank process.

An apparatus and method for fault detection and isolation in an optical network is disclosed in which each node determines an appropriate response to a line fault or an equipment fault, obviating the need for a central computer to coordinate the actions of each node in response to a fault. Each network node includes a local controller and restoration elements for detecting and responding to faults. Each local controller correllates a first set of optical characteristics measured by optical detectors with the local node with a second set of optical characteristics for the channels reported to the local node from an upstream optical element, such as a neighboring upstream node, to determine if a line switch or equipment switch is required. In a preferred embodiment, each node is communicatively coupled to its neighboring node via an optical supervisory channel, with the neighboring nodes communicating status messages and data on channel characteristics via the optical supervisory channel.

The invention relates to an auxiliary fault detection system and a method which are applied in a production information system for assisting the fault detection operation of a circuit board, the auxiliary fault detection system comprises a detection module for detecting identifying information of the circuit board, detecting the circuit board in the fault detection operation and sending corresponding fault code information and fault position information, a database for storing the fault code information and the corresponding fault position information detected in the fault detection operation and storing the identifying information of the circuit board, an extraction module for extracting the fault code information corresponding to the circuit board from the production information system according to the detected identifying information, an inquiry module for extracting the corresponding fault position information from the database according to the fault code information, and a calculation module for calculating the respective proportion of each fault position contained in the fault position information according to the fault position information for reference.

The invention discloses a distributed multi-intelligent-agent real time fault detection method based on neighbor associated condition. By converting node models having faults, a new fault detection model is built, fault signals and system condition variables are decoupled, fault detection difficulty is lowered, and only associated condition information of neighbors can be obtained via nodes. According to the distributed multi-intelligent-agent real time fault detection method, by setting fault detection sub-networks and subjecting sub-network models to corresponding linear conversion, node associated condition information can be converted into condition variables in the above fault detection model, and fault detection tasks can be done via the model. The invention provides a new fault detection solution to observe whether faults occur. The invention provides a neighbor associated condition solution for fault detection results. According to the distributed multi-intelligent-agent real time fault detection method, groupment advantages of a multi-intelligent-agent system are fully used, reliability of detection results is increased without system hardware performance improvement, and the distributed multi-intelligent-agent real time fault detection method is high in application value.

A fault detection and isolation system for distribution electric power lines utilizing a remote reference voltage signal, multiple three-phase current monitors producing asynchronous event data, and a common reference clock. A voltage measurement obtained for a power line at a substation may be synchronized with multiple current phase measurements taken at a power monitoring location along that particular power line. The same voltage measurement may be similarly synchronized with current measurements taken at multiple current monitoring locations along the power line. As a result, the same voltage measurement may be synchronized with current measurements taken multiple tap points along the power allowing a fault on a tapped line segment to be identified, located and isolated. An alternative embodiment utilizes differential current analysis utilizing current measurements from adjacent current monitoring locations correlated to a common reference clock to locate faults and therefore does not require a voltage measurement.

The systems and method may include receiving a plurality of measured tuning inputs associated with an operating parameter of an engine, providing a plurality of parameter estimation modules that utilize one or more component performance maps having adjustable knobs to generate model outputs, where each parameter estimation module is configured independently of a respective one of the operating parameters of the engine, and where each parameter estimation module generates the model outputs based upon fundamental inputs associated with the engine. The systems and methods may further include calculating residual values for each parameter estimation module, adjusting knobs of each parameter estimation module, and determining that a sensor associated with a measured tuning input or a fundamental input is faulty based at least in part upon values of the knobs and residual values.

The embodiment of the invention provides a fault detection method and device for a database cluster, wherein the method specifically comprises the following steps: receiving a detection object parameter and a detection item parameter input by a user; determining a target server corresponding to the detection object parameter in the database cluster; and performing a detection operation corresponding to the detection item parameter after remotely logging in the target server so as to obtain a corresponding detection result. According to the embodiment of the invention, faults in the database cluster can be automatically detected; therefore, the fault detection operation can be simplified; and the fault detection difficulty can be reduced.

Provided are a method of detecting and isolating fault in sensors and a method of accommodating fault in sensors using the same. In the method of detecting and isolating fault in sensors, a one reduced-order parity vector is obtained by excluding the output of one sensor selected from n sensors, a two reduced-order parity vector is obtained by excluding output of two sensors selected from the n sensors, and when there are a plurality of parity vectors obtained at plural points of time, one reduced-order parity vectors are averaged to obtain an averaged one reduced-order parity vector and likewise, two reduced-order parity vectors are averaged to obtain an averaged two reduced-order parity vector. Therefore, a decrease in fault detection and isolation (FDI) performance can be hindered, and even when double faults occur, sensors to be excluded can be selected. Thus, a system including sensors has high reliability and high accuracy.

Systems and methods for isolating a performance anomaly within one or more line replaceable units (LRUs) on a gas turbine engine by monitoring the start up transient are presented. The system comprises a set of sensors, an anomaly detector and a fault isolation reasoner. Each sensor of the set monitors at least one operating parameter of at least one engine component. The anomaly detector is configured to detect an anomaly in a component by comparing a particular value of an operating parameter to a base line value of that parameter. The specific cause of the startup anomaly is isolated utilizing a set of component reasoners that is based on the nature of the detected anomaly. The key events during the engine startup are identified by the combination of monitoring physically relevant phases of a startup and monitoring the engine control schedule. The values at these key events are used for comparing at the anomaly detector.

The invention provides a fault detection apparatus of a solenoid valve. The fault detection apparatus comprises a switch which switches to a power supply for an electromagnetic coil according to a fault detection signal which has specific energy smaller than a critical value of driving the solenoid valve, a fault detection portion which measures voltage across two ends of the electromagnetic coil and outputs detection voltage, a control portion which outputs the fault detection signal to the switch and based on the detection voltage input by the fault detection portion determines whether a fault of the solenoid valve occurs, and a fault output portion which outputs a fault state of the solenoid valve. According to the fault detection apparatus, the fault of the solenoid valve is detected by using a distribution voltage determined by resistance of the switch and intrinsic resistance of the electromagnetic coil, and thus a shunt resistor for monitoring current and a complicated amplifier circuit can be replaced, and the number of used accessories can be reduced.

The invention relates to the field of protection of an intelligent distribution network of an electric power system, in particular to a digital-analog (DA) protection method for the intelligent distribution network in the aspects of power supply, fault processing and safety. A DA protection function is set between different power supply points and can be used for determining the corresponding fault according to fault detection information of voltage and current of a terminal of the distribution network between the power supply points and uploading the fault information to a DA controller witha DA controller function or a distribution network master station, and the key of the intelligent distribution network is fault recognition, fault positioning, fault isolation and non-fault area power supply restoration, so the protection method for the intelligent distribution network is established on the basis of the core to remove faults through the fault recognition of the automatic terminalof the distribution network; a fault point is positioned according to the uploading position of the fault information; after the fault point is positioned, switches or circuit breakers at the two ends of the fault are tripped, so a fault area is isolated; and an interconnection switch is turned on, the power supply of a non-fault area is restored, and the practical process of the fault processingof the distribution network is promoted.

A system and method for determining the root cause of a fault in a vehicle system, sub-system or component using models and observations. In one embodiment, a hierarchical tree is employed to combine trouble or diagnostic codes from multiple sub-systems and components to get a confidence estimate of whether a certain diagnostic code is accurately giving an indication of problem with a particular sub-system or component. In another embodiment, a hierarchical diagnosis network is employed that relies on the theory of hierarchical information whereby at any level of the network only the required abstracted information is being used for decision making. In another embodiment, a graph-based diagnosis and prognosis system is employed that includes a plurality of nodes interconnected by information pathways. The nodes are fault diagnosis and fault prognosis nodes for components or sub-systems, and contain fault and state-of-health diagnosis and reasoning modules.

Systems and methods for isolating a performance anomaly within one or more line replaceable units (LRUs) on a gas turbine engine by monitoring the start up transient are presented. The system comprises a set of sensors, an anomaly detector and a fault isolation reasoner. Each sensor of the set monitors at least one operating parameter of at least one engine component. The anomaly detector is configured to detect an anomaly in a component by comparing a particular value of an operating parameter to a base line value of that parameter. The specific cause of the startup anomaly is isolated utilizing a set of component reasoners that is based on the nature of the detected anomaly. The key events during the engine startup are identified by the combination of monitoring physically relevant phases of a startup and monitoring the engine control schedule. The values at these key events are used for comparing at the anomaly detector

A redundant fieldbus system provides power and communications in a parallel physical configuration between the host system and attached field devices irrespective of any single point failure in the network. In case of a fault, the redundant fieldbus system automatically eliminates the faulty section of the network, switches power and communications to the healthy portion of the network and terminates the network for signal integrity. A device coupler for the system may include a fault detector coupled to an auto-termination circuit that terminates a fieldbus cable when a fault is detected. The device coupler may include fault detection and isolation coupled to each set of spur terminals used to connect field devices to the device coupler. A field device for the system may include circuitry for deselecting a faulty cable while maintaining connection to a healthy cable.

The invention relates to a fault diagnosis method for an aero-engine control system sensor based on 3DCNN-JTFA, and the method comprises the steps: building a fault generator on the basis of an aero-engine-sensor mathematic model; randomly mixing aircraft engine flight data with output signals of the fault generator to obtain a sample data set; processing the sample data set through a JTFA methodto obtain a time-frequency graph; performing label training on the sample data set according to the fault type to obtain a 3DCNN model; inputting real-time measurement data of an aero-engine control system sensor into a 3DCNN-JTFA model, and completing real-time fault detection and isolation through the steps of preprocessing, JTFA analysis to obtain a time-frequency diagram, label setting, 3DCNNclassification and the like. According to the invention, JTFA, 3DCNN and multiple binary classification technologies are combined, an offline learning and online operation mode is adopted, the methodis used in a diagnosis experiment, the method is not sensitive to noise interference, and the diagnosis efficiency is improved. Meanwhile, a fault generator is designed, so that the problem of data mismatching is solved.

The invention provides an LS-SVM-based self-adaptive fault-tolerant GPS / INS integrated navigation method. The method is briefly characterized in that if an LS / SVM considers that a certain current sub-navigation system breaks down, the weight of the sub-navigation system in information fusion is lowered, the weight for other sub-navigation systems is increased, and therefore fault isolation is achieved. When the LS-SVM detects that fault information is repaired, the weight of the corresponding navigation sub-system is recovered to be normal, and therefore it is ensured that all normally-workingsub-navigation systems take part in information fusion, and the purpose of improving the precision of the integrated navigation system is achieved. Compared with the prior art, the navigation methodhas the advantages that when a fault exists, fault detection and isolation can be effectively achieved, and it is ensured that the navigation precision is not affected by fault information; when not fault exists, optimal information fusion of all the normally-working sub-navigation systems can be effectively achieved, and the navigation precision of the integrated navigation system is improved tothe maximum extent.

The method and apparatus for tracking a center of gravity (COG) of an air vehicle provides a precise calculation and updating of the COG by disposing a plurality of acceleration measuring devices on a circumference of one or more rings in a manner that establishes redundancy in acceleration measurement. A multivariable time-space adaptive technique is provided within a high speed digital signal processor (DSP) to calculate and update the position of the COG. The system provides the capability of executing a procedure that reduces dispersion in estimating angular velocities and lateral accelerations of a moving vehicle and corrects the vehicle's estimated angular velocities and lateral accelerations. In addition, a consistency check of the measured values from the acceleration measuring devices is performed to assist in fault detection and isolation of a faulty accelerometer in the system.

The invention belongs to the technical field of monitoring or testing devices, and discloses a data center network fault node diagnosis method and system based on dialing test data. The method includes the steps of generating a dynamic breadth priority spanning tree as a detection path among nodes on the basis of existing fault detection information, analyzing dialing test data on the basis of a given prior probability p to initially determine the failure probability of network members, selecting a reasonable threshold by analyzing a probability distribution function to identify fault nodes, and classifying a suspicious node set into a fault node set and a normal node set. Compared with an HFD algorithm, an HBFD algorithm has better performance in terms of detection quantity and diagnosticaccuracy. Fault nodes in the network can be accurately identified in network topologies of different sizes in a situation of the low frequency of detection. The introduction of the novel method intoHBFD has a certain research value in order to diagnose malicious nodes or other types of faults in the network.