4023 results about "Device failure" patented technology

A method and apparatus for placing objects on a storage device of a storage system and reconstructing data of objects in the storage device. The storage system stores data as objects and implements a RAID architecture including a plurality of the storage devices, and a disk controller for processing Object-based Storage Device (OSD) commands. Each object includes data and attribute. Parity data is calculated for reconstructing an object upon occurrence of a storage device failure. Each storage device includes plural stripes each having a predetermined length. Each object is stored in a stripe wherein an attribute is stored in the head of the stripe and data is stored after the attribute. When the object size exceeds the stripe length, the remainder of the object is stored in the next stripe, and when another object is to be stored, an attribute is stored at a head of a further next stripe and data is stored just after the attribute.

The functionality and the output power delivered are evaluated in an electrosurgical generator by calculating first and second values related to the output power delivered by using separate first and second computations. The two calculated values are compared, and an error condition is indicated when the two values differ by a predetermined amount. The separate computations, coupled with the other separate activities of measuring, averaging and sampling the output current and voltage measurements, serve as an effective basis for detecting errors caused by malfunctions or equipment failure. The error condition may be used to as a basis to terminate the output power delivery or indicate the error.

Methods, apparatus and computer programs have been provided for mitigating a problem of non-optimal recovery from storage device failures. A method involves determining a required write performance for rebuilding data of a failed device, based at least partly on the potential read performance of storage devices in a data rebuild; and allocating a virtual storage area within available storage, which allocation of virtual storage is based at least partly on the required write performance. Data is rebuilt by writing to the allocated virtual storage area, and data recovery is completed by migrating this rebuilt data to at least one data storage device such as a spare physical storage device within the array.

An electrical network architecture including a reconfigurable interface layer, along with a corresponding reconfiguration methodology. The interface layer is comprised of reconfigurable interface devices which allow a plurality of sensors and actuators to communicate with a plurality of control units. Each sensor or actuator is connected to multiple interface devices, which in turn are connected to a bus. The control units are also connected to the bus. In the event of an interface device failure, other interface devices can be reconfigured to maintain communication between sensors, actuators and control units. In the event of a control unit failure, the interface devices can be reconfigured to route sensor and actuator message traffic to a different control unit which can handle the functions of the failed control unit. The overall number of control units can also be reduced, as each control unit has flexible access to many sensors and actuators.

A technique is described which may be used to synchronize a plurality of different access controllers which control a plurality of distinct ports at the Head End of an access network. In the context of a cable network, the technique of the present invention may be used to synchronize desired upstream and/or downstream channels across different line cards within a Cable Modem Termination System (CMTS). The technique involves utilizing a master time reference device which maintains and updates a current time reference, and periodically distributes synchronization signals to desired line cards in the system in order to synchronize these line cards. In a specific embodiment, the synchronization signals include current timestamp data generated from the master time reference device and distributed to all (or selected) line cards in the system. A slave time reference device on each of the line cards receives the periodic synchronization updates and uses the synchronization data to remain synchronized with the master time reference device. There are also provisions in this protocol to allow for hot insertion and removal of line cards, software reset or loading of the master and/or slave time reference devices, and redundant master time reference devices, including master time reference device fault detection and automatic fail over.

A display system in which subsequent failures of plant equipment and plant systems are predicted to occur and in which the probability of failure before a specified date and the probability of failure after a specified date is determined and displayed and in which the calendar date is determined and displayed when the desired probability that the equipment not fail prior to the calendar date is specified. The system includes an Equipment Failure And Degradation Module that determines the remaining equipment/system life; a Probability-of-Failure Predictor Module that determines the probability of the equipment/system failing prior to a specified date and the probability of the equipment/system failing after a specified date; and a Date-of-Failure Predictor Module that determines the calendar date that corresponds to a specified probability that equipment not fail prior to the date.

A solid-state mass storage device and method of anticipating a failure of the mass storage device resulting from a memory device of the mass storage device reaching a write endurance limit. A procedure is then initiated to back up data to a second mass storage device prior to failure. The method includes assigning at least a first memory block of the memory device as a wear indicator, using other memory blocks of the memory device as data blocks for data storage, performing program/erase (P/E) cycles and wear leveling on the data blocks, subjecting the wear indicator to more P/E cycles than the data blocks, performing integrity checks and monitoring the bit error rate of the wear indicator, and taking corrective action if the bit error rate increases, including the initiation of the backup procedure and generating a request to replace the device.

The invention discloses a bearing fault detection method based on a manner of controlling stochastic resonance by an external periodic signal. According to the method provided in the invention, after a bearing fault signal is converted by a variable metric method, the converted signal is input in a bistable system; meanwhile, an external single frequency periodic signal is taken as a control signal to act directly on the system; contact barrier height of the bistable system and an escape rate of Kramers are changed by continuously adjusting an amplitude of the control signal. Therefore, stochastic resonance can be generated or increased artificially; a spectral value of an output power spectrum at the position of an input signal frequency can be effectively improved; and thus a characteristic signal of a bearing fault can be detected accurately at last. The detection method provided in the invention enables the effective control of the stochastic resonance to be realized, thereby providing a novel method for early detection of equipment faults.

Redundant gateway methods, apparatus and systems use more than one gateway device in a gateway device group for communications directed outside of a LAN. Failover services are thus provided in the event that an active router or other gateway device fails. A failover monitoring unit includes a memory and a processor coupled to the memory. The monitoring unit also includes gateway ports connected to the processor. Each gateway port is configured to connect a gateway device to the monitoring unit. The monitoring unit is configured to collect and store redundancy group data pertaining to a redundancy group comprising a plurality of gateway devices connected to the monitoring unit. The redundancy group includes an active gateway device and one or more standby gateway devices. The monitoring unit monitors the gateway ports to detect failure of an active gateway device. When a failure is detected, the monitoring unit notifies each redundancy group standby gateway device of the active gateway device failure.

A system and method for providing a high fault tolerant memory system. The system includes a memory system having a memory controller, a plurality of memory modules and a mechanism. The plurality of memory modules are in communication with the memory controller and with a plurality of memory devices. The plurality of memory devices include at least one spare memory device for providing memory device sparing capability. The mechanism is for detecting that one of the memory modules has failed possibly coincident with a memory device failure on an other of the memory modules. The mechanism allows the memory system to continue to run unimpaired in the presence of the memory module failure and the possible memory device failure.

The invention relates to the technical field of equipment fault monitoring, and particularly discloses an equipment fault warning and state monitoring method. The equipment fault warning and state monitoring method is characterized by including two processes of model building and model operation; the process of model building includes the steps of acquiring training data, performing data preprocessing operation on the training data, then adopting a nonparametric learning algorithm to select a memory matrix, training a residual generator and acquiring a residual threshold of each parameter; the process of model operation includes the steps of acquiring real-time data, performing data preprocessing operation on the real-time data, then calculating all parameter residuals of the real-time data, analyzing the residuals to judge whether the equipment state is normal or not, and further positioning fault causes. The method has the advantages of data-driven method based universality, robustness and high adaptive capability, the shortcoming that warning results are difficult to analyze and explain is avoided, and additionally accuracy and efficiency of fault warning are both improved due to introduction of the nonparametric learning algorithm.

A technique efficiently corrects multiple storage device failures in a storage array using a combination of a single diagonal parity group and multiple row parity groups. The storage array includes a plurality of concatenated sub-arrays, wherein each sub-array includes a set of data storage devices and a parity storage device. Each row parity group is associated with a sub-array of the array. The array further includes a global parity storage device holding diagonal parity computed across the concatenation of the sub-arrays. Instead of requiring that each parity group contain both a row parity device and a diagonal parity device, the array is composed of a collection of row parity groups. Diagonal parity is calculated across the full array.

A method for DVR (digital video recorder) recovery from interruptions is described. Interruptions include power failures, primary storage device failure, Emergency Alert broadcasts, loss of signal (LOS), etc. Upon detecting that an interruption has occurred, the DVR determines the duration of the interruption and consults a saved “journal” of DVR operations to determine what it was doing when the interruption occurred. If a program that was being recorded prior to the interruption is still running when the interruption ends, recording is resumed. If the interruption is long, then the DVR searches an electronic program guide to see if the program is available for re-recording at a later time. If so, it schedules re-recording at that time. Recovery methods for insufficient primary storage space are also described.

The invention provides a vehicle monitoring system based on a CTCS-3 level train control system and a terminal thereof; the system comprises a vehicle monitoring terminal, a ground access server and an operation and maintenance terminal; the vehicle monitoring terminal is arranged on a locomotive and is used for collecting the data of vehicle I interface, thus obtaining monitoring data and downloading the monitoring data to the ground access server by a GPRS and/or WLAN network; the ground access server is used for analyzing, counting and memorizing the monitoring data so as to be queried and analyzed by a user and transferring the analyzed and counted monitoring data to the operation and maintenance terminal; and the operation and maintenance terminal is used for carrying out real-time display on the monitoring data. The system and the terminal can position the communication signal equipment failure points, and realize the real-time monitoring and early-warning on the working state of the vehicle communication and signal equipment.

The invention relates to an electric power telecommunication network device fault prediction method based on improved LSTM. The invention provides a data preprocessing and time sequence input construction method for the first time. Compared with the simple recurrent neural network, the LSTM is more likely to learn long-term dependence and can solve the prediction problems related to sequences. Because of the strong association between device alerts, the independence of variables can be ensured through PCA. The target replication strategy is also used for improving the LSTM, which can bring local error information in every step. Compared with a simple target output only in the last step, the strategy can improve the accuracy of the model and reduce the risk of over fitting. In combination with dropout, the invention proposes a prediction model of LSTM, which can achieve better prediction precision by deep learning. At the same time, the LSTM is usd for modeling electric power telecommunication network alarm data for the first time and identifying the timing sequence mode therein.

The invention discloses an SVM classification model-based equipment fault diagnosing method. The method comprises the following steps: performing a preprocessing operation on equipment data; constructing a fault diagnosis case knowledge base; performing fault diagnosis on a support vector machine on the basis of an SVM classification model; acquiring fault information and performing maintenance guide. According to the support vector machine-based intelligent equipment fault diagnosis method, the fault features of equipment are highlighted to the maximum degree; the situations that the equipment data are incomplete and inaccurate are reduced; the possibility is provided for constructing an accurate and reliable fault diagnosis model; the problem that the diagnosis model ages along with the operating time of the equipment is solved; the misdiagnosis rate of the fault diagnosis is reduced; the accuracy and the speed of the equipment fault diagnosis are greatly improved.

A system and method for providing automatic data restoration after a storage device failure are disclosed. An agent module detects a failure at a logical unit located at a primary storage device. The agent module locates backup data from the failed logical unit that is stored on a backup storage device and transfers the backup data from the backup storage device to a spare logical unit located on the primary storage device. The agent module then maps the spare logical unit to an address associated with a host in response to detecting the failure at the logical unit.

The system comprises preprocessing board connecting key phase signal to fast signal, key phase board controlling whole period of sampling, high speed collecting board for vibration signal, low speed data collecting board for graded signal. In the method, they are connected to down level server to fulfil data collection, signal analysis, and automatic identification as well as picking up characteristic parameters of operatino of machine set and down level server can make high speed communication with up level server through network card or IP protocol as up level server is equipped with an intelligent reasoning machine integrating professional knowledge rule, fuzzy logic and neural network in one component to carry trend prediction and intelligent diagnosis for operation and failure of machine.

A device removal system securely removes an item of content or a device from a content-protected home network. An authorization table maintains a list of devices in the content-protected home network in addition to removed devices. The authorization table also maintains a list of deleted content. Through management of various cryptographic keys and techniques, devices and content will not play on a content-protected home network after they have been removed. A secret network ID reduces the possibility of unauthorized playing of content on the content-protected home network. A web server may join the content-protected home network as a device, providing backup for the secret network ID. Otherwise, the device manufacturer will provide the secret network ID in case of a device failure. Storing a verification value in each device ensures integrity of critical cryptographic values. This verification value is compared to network values to ensure network values have not been corrupted.

Various embodiments of a system and method for performing a backup operation to backup a volume formatted according to a particular file system to an online server computer system are disclosed. Backing up the volume may include backing up both the data files and the file system metadata of the volume. Various techniques may be utilized to avoid duplication of data on the server computer system and reduce the amount of data transmitted over the network. The backup information created on the server computer system may be useable to perform a complete restore of the volume on the client computer system, e.g., in the event of a storage device failure on the client computer system.

In the invention, when monitoring the status of ports in local convergence group at two ends of communication network; classifying the monitored state variation information into different types; according to the type of the status variation information, making relevant process. Said method utilizes link convergence control protocol and makes some improvement for it.