32results about How to "Reduce fault repair time" patented technology

The present invention relates to a method and system for integrated operation and maintenance of rail transportation signals based on cloud computing; using the four-level model of railway corporations, railway bureaux, electrical service depots, and stations, in the railway corporations and rail bureaux, respectively deploying a data centre, a data acquisition device, and a terminal, and in the electrical service depots and the stations, only deploying a data acquisition device and a terminal; also deploying a real-time data analysis component, the real-time data analysis component in the electrical service depots or stations being deployed in the data acquisition device, and the real-time data analysis component in the railway corporations or railway bureaux being deployed in the data centre. The present invention uses a hierarchical mode of deployment, implementing real-time analysis of signal data by means of directly deploying a real-time data analysis component in an acquisition device, meeting the storage demands of ever-increasing signal data by means of a tiered storage and indexing strategy, and implementing rapid locating of a fault by means of a four-layer indexing structure; the signal data corresponding to the time of a fault can be rapidly retrieved by means of information including the time, type, and position of the fault.

The invention discloses a control system for curing forming of a bent portion of a stator coil of a large-capacity air-cooled generator. The control system for curing forming of the bent portion of the stator coil of the large-capacity air-cooled generator comprises a master station control system, a heating and curing temperature control driving system, a temperature control system, a heater line breakage detection system, an industrial monitoring system and a mechanical electrical substation. According to the control system for curing forming of the bent portion of the stator coil of the large-capacity air-cooled generator, a master station controller is adopted, all control is automatically completed through the master station controller, manual intervention is not needed, control over heating, curing forming is achieved fully automatically, the labor is liberated greatly; temperature compensation is achieved by each temperature sensor through a standard thermal resistance temperature compensation instrument, and the accuracy of the temperature is improved; due to the fact each sensor is in zero-distance contract with the coil, heating precision is improved; the side which a heating plate coil leans against is integrally flat through full-screw-thread fit; on the whole, the quality of the coil is improved; due to the fact that the closed-loop PID algorithm is adopted, the temperature control precision can be improved, overshoot can be reduced, and the curing quality of the coil is improved remarkably.

The invention provides an ONU (Optical Network Unit) positioning system and method based on orthogonal coding. The ONU positioning system comprises a passive optical network PON (Passive Optical Network) formed by sequentially connecting an OLT (Optical Line Terminal) for connecting an optical fiber trunk line, an ODN (Optical Distribution Network) for passive distribution and an ONU for providinga user side interface in series, by allocating a unique feature code to each ONU. The positioning function of the faulty ONU in the TDM-PON network is realized under the condition of not increasing additional conditions.

The invention discloses a wind turbine generator fault maintenance method based on a structured knowledge base. The method comprises the following steps that S01, the structural knowledge base of windturbine generator faults is established, and the running data of the wind turbine generator is collected in real time; S02, when the fault occurs on the wind turbine generator, effectiveness discrimination is performed on the fault information, and when the fault is effective, S03 is entered; and S03, the running data, the fault information and the fault wind turbine set position information aretransmitted into the structured knowledge base, and a fault treatment scheme is obtained by matching. The invention further discloses a fault maintenance system which comprises a first module, a second module and a third module, wherein the first module is used for acquiring the running data of the wind turbine generator; the second module is used for carrying out effectiveness discrimination on the fault information when the wind turbine generator breaks down; and the third module is used for transmitting the running data, the fault information and the fault wind turbine set position information into the preset structured knowledge base when the fault is effective, and the fault treatment scheme is obtained by matching. The method and the system have the advantages of standardization in maintenance, high efficiency and the like.

The invention discloses a rail transit fault identification method based on an association rule classifier. The method comprises the steps that (1), attributive characters and fault categories corresponding to the attributive characters are extracted from historical fault data, each fault datum is represented by a transaction, one or more association rules corresponding to each transaction are built for the corresponding transaction, and an association rule set is obtained; (2), the support degree and confidence coefficient of each association rule are calculated according to the number of the transactions, containing the corresponding association rule, in a transaction set, and a strong rule is obtained; (3) an association rule hard classification model is built according to the strong rule; the percentage of each non-strong ruler in the association rule set is calculated, and an association rule soft classification model is built; (4) the attributive characters of the fault data monitored in real time are extracted, and are classified through the hard classification model and the soft classification model. According to the rail transit fault identification method based on the association rule classifier, fault identification accuracy is improved, fault correction time is shortened, fault self-diagnosis is achieved for equipment, and driving safety is ensured from the two aspects of operation and maintenance and equipment.

The present invention provides a satellite network rerouting method based on a priority mechanism, including: when a fault occurs on a key link, calculate the link repetition rate according to the minimum interference algorithm, and when the link repetition rate is less than the level parameter , select the path with the first priority, when the link repetition rate is greater than the level parameter, select the path with the second priority, when the failure occurs on a non-critical link, when there is no backup for the link on the working path In the path, the faulty node or the previous node of the link is regarded as the source node, and the faulty node or the next node of the link is regarded as the destination node. According to the shortest path algorithm, the feasible route to the destination node is directly calculated online, and then redistributed Tags, after tag redistribution is complete, enable communication. The invention reduces the resources consumed for recalculating the path when a failure occurs, and shortens the time for repairing the failure.

The invention discloses a rail transit fault identification method and system based on improved Bayesian. The method is as follows: 1) Determine various failure modes and corresponding monitoring quantities of each transportation equipment according to the circuit structure of the transportation equipment, and establish a failure model for each failure mode and corresponding monitoring quantities; The parent-child relationship between the monitoring data is obtained to obtain the standard fault sample data; 3) The standard fault sample data is used to train the Bayesian algorithm to obtain the fault identification model; the weight of the parent node in the fault identification model of each fault mode is Greater than the weight of the sub-node; 4) Real-time monitoring and collection of various monitoring quantities of traffic equipment, and record their time series; 5) Use the fault identification model to identify the data and determine the corresponding fault. The invention improves the accuracy of fault identification, shortens the time for repairing faults, enables fault self-diagnosis of equipment, and ensures driving safety from two aspects of operation and maintenance and equipment.