127 results about "Planned maintenance" patented technology

Monitoring road surface conditions using a mobile computer unit carried by a vehicle operating on a road network and adapted to detect information about the road surface conditions. The detection may be done by means of bump sensors which may also provide information on the size and the depth of the bump according to a detected shock with respect to the vehicle speed. Such information may then be transmitted to a central controller server. The central server may use the collected information for several purposes, such as help in planning maintenance of the road network; forwarded to users and vehicles for journey planning purposes; and to deviate traffic in case of extreme surface damage.

An embodiment of the invention discloses a transformer state evaluation method and system. State quantity indexes are normalized to obtain the health degree of the state quantity indexes, the subjective weight of each state quantity index is determined by an analytic hierarchy process in a fuzzy comprehensive evaluation theory, an objective weight corresponding to each state quantity is obtained by an entropy weight method and used for correcting the subjective weight to obtain comprehensive weight parameters of each state quantity index, the connection degree of each state quantity index and state classification is obtained by the aid of connection degree in a set pair analysis theory, and finally, data of evaluation results of a hierarchical index set of each unit are integrated by the aid of D-S evidence theory fusion rules to obtain state evaluation results of each sub-unit. Whether a transformer needs maintenance or not can be determined according to the state evaluation results, so that blindness of planned maintenance is avoided, and human and material resources needed by maintenance for the transformer are reduced.

The invention provides a wind turbine set gearbox remote online state monitoring and life assessment method. The method comprises the following steps: (1) a remote center computer collects a real-time operation parameter, temperature data and vibration data of each wind turbine through SCADA; (2) through analyzing the characteristic values of signal time domain and frequency domain, whether a vibration sensor has a fault or not is diagnosed; (3) the data is subjected to normalization process, a difference between data is reduced, and the diagnosis precision is raised; (4) when the fault of a wind generator set gearbox is diagnosed, different filtering modes are employed for different algorithms to extract the corresponding characteristic; (5) the collected data is subjected to characteristic extraction; (6) the fault diagnosis is carried out to provide the fact that whether the fault exists or not and the degree of the fault; (7) the residual life of the failed gearbox is estimated through a gray theory model, and an autoregression model is established for the residual error of the predication result to raise the predication precision. According to the method, the real-time estimation of the residual life is realized, and a basis is provided for the planned maintenance of the wind turbine set.

A technique for scheduling planned maintenance of equipment, such as medical imaging systems, permits selection of time-based or usage-based scheduling. If usage-based scheduling is selected, operational data collected from the systems serves as the basis for computing a maintenance schedule along with reference usage values for parameters indicative of use. Reference may be made to norms for similar equipment, and the schedule may be adapted accordingly. Trends in usage, increasing or decreasing, may be accommodated by comparison of the usage determinations over time, and schedules may be adjusted accordingly.

Disclosed are methods of leasing or billing for the usage of a portable suction pump adapted for use in a suction-assisted would treatment system. The pump has means for recording time units corresponding to periods of time when the pump is operating and for providing reports of usage time. The pump further has means for detecting that the wound treatment system is operating normally so as to be compliant with standards for suction wound treatment, and for recording and reporting time of normal operation or compliant usage. The methods include leasing the pump at a payment schedule that is based upon the amount of actual usage time or the amount of compliant usage time. The lease payment may include an amount of pre-paid time units such that unused time units can be credited to a new or renewed lease for a replacement pump. The billing methods can also be based in whole or in part on a planned maintenance schedule for the pump.

The invention belongs to the technical field of data mining in information technologies, and relates to an electrification detection data processing method based on a data mining technology, in particular to a state analysis technology and method for a transformer, a breaker, an arrester and others in electrical equipment. The processing method includes the steps that according to maintenance lag existing in traditional state maintenance of the electrical equipment and redundant work of overmuch planned maintenance, and a data mining state analyzing model with a rough set and a decision-making tree combined is built and combined with an existing electrical equipment state maintenance system to build the electrification detection data processing system based on the data mining technology. The rough set and the decision-making tree fusion technology is applied to state data analysis of the electric equipment, according to existing state judgment standards, state data of an over 35 KV transformer, an SF6 breaker and other electric equipment are preprocessed, Gini coefficient indexing, attribute reduction, threshold value selection and other steps are performed on attributes, state analysis is performed on the basis, meanwhile a work state table is formed, and a corresponding processing scheme is given.

The invention relates to a substation power transformer overheating fault monitoring system based on a thermal infrared imager. A data acquisition module receives data output by the thermal infrared imager. The data acquisition module acquires infrared images obtained by the thermal infrared imager into a computer monitoring software system, and the infrared images are processed by an infrared image processing module. The data acquisition module transmits obtained temperature data information to a temperature measurement and display module. After format conversion is conducted on the infrared images acquired by the infrared image processing module, the infrared images are transmitted to an image displayer. The output end of the temperature measurement and display module is connected with a temperature displaying and alarming device. According to the substation power transformer overheating fault monitoring system based on the thermal infrared imager, online timed full-automatic temperature monitoring and intelligent fault alarming can be conducted on a transformer through the online monitoring software system, remote temperature monitoring of the unattended substation power transformer is achieved, manpower and material resources are saved greatly, and traditional planned maintenance of power equipment is converted into cognition-based maintenance of power equipment.

An HLR register for maintaining data relating to mobile users of a network for use by the network, the register being arranged to be coupled to a mate register at a remote location for back up of the data, the register being divided into segments and arranged to carry out a partial handover to the mate register by handing over maintenance of data of one or some of the segments to the mate register temporarily. By allowing a partial handover rather than requiring a complete handover, the handover can be simpler and quicker. This can reduce the risk of loss of data or reduce an amount of down time and consequential losses of revenue. This is particularly important for larger registers. The handover can be triggered by a fault in the segment or for the purpose of planned maintenance for example. It can be triggered manually or automatically.

A system for recording and analyzing reliability data for an aircraft during a dynamically-planned maintenance check of the aircraft includes means for obtaining and logging warranty-based reliability data from maintenance records generated during the performance of any routine or non-routine tasks that may exist, and which pertain to rotable parts of the aircraft; means for obtaining and logging maintenance program-based reliability data from maintenance records generated during the performance of any non-routine tasks that may exist; means for identifying for each non-routine task, a routine task whose performance resulted in the generation of the non-routine task; means for obtaining and logging maintenance program-based reliability data from maintenance records generated during the performance of any identified routine tasks that may exist; and means for analyzing and reporting the warranty-based reliability data and the maintenance program-based reliability data.

The invention provides a wind turbine generator health management method based on machine learning algorithm platform. The health management method includes: theoretical power generation balance analysis, performance grade evaluation, fault diagnosis model and health management model design, health evaluation and health analysis, health management is the realization of condition-based maintenance.According to the deep application of the theoretical electric quantity balance analysis method, Combining Big Data Technology, through the combination of machine learning and artificial intelligence,to realize the prediction and evaluation of the health status of the fan and its accessories and main equipment, finally, the maintenance mode of wind turbine generator system is transited from planned maintenance and fixed maintenance to condition-based maintenance, so as to reduce the power loss of planned maintenance, unplanned maintenance and performance loss of wind turbine generator system,so as to achieve the goal of increasing the power generation of wind farm station and improving the economic benefit of wind farm station.

The invention discloses an aircraft structure checking task planning method based on risk and cost analysis. The checking mode comprises traditional structure non-destructive detection and structure health monitoring. The method comprises the steps that based on the principle of probability damage tolerance analysis, the calculation model of single flight failure probability of an aircraft structure element is established; based on the model, a cumulative risk calculation model of a fleet in a certain period of time is established; in the existing aircraft structure plan maintenance mode, the maintenance cost calculation model of the aircraft structure element in the service life cycle is established, wherein the calculation model comprises structure checking cost, repair cost and false alarm cost; the single flight failure risk and fleet cumulative risk are used as the risk assessment indicators of a structure maintenance policy; under the premise that a safety risk requirement is satisfied, the optimal structure checking policy can be determined according to the analysis of the structure whole service life cycle maintenance cost. The optimal structure checking interval and repair threshold can be determined based on the tradeoff between the structure failure risk and the service life cycle maintenance cost.

A system inhibits alert monitoring during a predefined time period such as system maintenance by suppressing automatic communication of false alert messages to systems, on call personnel and availability reports and enables future scheduling of planned maintenance events, as well as realtime suppression of alerting during a chosen period. A system supports maintenance of one or more processing devices. The system includes a display processor for initiating generation of data representing at least one display image enabling a user to, select a processing device from multiple different processing devices intermittently receiving maintenance and schedule a time period for suppression of communication of alert messages indicating a failure condition of the selected processing device.

The invention relates to a diaphragm pump fault diagnosis method and device based on a fractal theory and belongs to the technical field of machine fault diagnosis. The diaphragm pump fault diagnosis device comprises a signal collecting module used for detecting vibrating signals of a diaphragm pump through an acceleration sensor, a signal preprocessing module used for preprocessing the collected vibrating signals of the diaphragm pump, a feature extracting module used for extracting fractal fault features from the denoised vibrating signals, a state recognition module used for conducting fault matching and recognizing on the extracted fractal fault features and all initially-imported fault fractal feature quantity obtained through historical training, a fault diagnosis and alarm module used for reminding device maintenance personnel to correspondingly process the device. According to the diaphragm pump fault diagnosis method and device, the running state of the device can be rapidly and visually reflected, the reliable running information of the device can be provided for the device maintenance personnel in time, running of the device is effectively ensured, and therefore the downtime, the planned maintenance time and the unplanned maintenance time of the device are shortened.

The invention provides a locomotive vehicle running gear bearing holder fault pre-alarm method.According to the method, a composite sensor and a detection instrument are installed on a locomotive vehicle running gear bearing seat for online data acquisition and preprocessing, time domain impact SVi data, time domain vibration Vi data and temperature data Ti are generated, the time domain impact characteristic value SVmax and the time domain vibration characteristic value VRMS are calculated, fast Fourier transform is conducted, a corresponding shock frequency spectrum and a vibration frequency spectrum are obtained, an impact fault characteristic mark Ib and a vibration fault characteristic mark Vb are obtained through processing, a temperature pre-alarm mark Tb is obtained through calculation with temperature data, trend analysis is conducted on the Ib, the Vb and the Tb sequence data, and an alarm or pre-alarm is given according to the trend analysis result.The locomotive vehicle running gear bearing holder fault pre-alarm method is high in diagnosis accuracy, easy to master, high in operability and wide in application range; scientific operation or maintenance guidance opinion is provided, planned maintenance is converted to state maintenance, safety of the locomotive vehicle is greatly improved, maintenance cost is saved, and operation economic benefits are raised.

The invention provides a method and a device for online evaluation of a converter valve state based on grey clustering. The method comprises: acquiring online monitoring data of a converter valve in apreset time period; establishing a state evaluation indicator matrix of the converter valve according to online monitoring data, and calculating a score value of each evaluation parameter class in the state evaluation indicator matrix according to the online monitoring data; respectively constructing a whitening weight function corresponding to each preset gray class according to at least three preset grey classes; according to a preset weight value of each evaluation parameter class and the whitening weight function of the score value of each evaluation parameter class, using a grey clustering algorithm to respectively calculate a clustering weight value of each preset grey class; and evaluating an operating state of the converter valve according to the each clustering weight value. By implementing the method, real-time evaluation of the operating state of the converter valve is realized without manual operation, accuracy of an evaluation result is improved, and potential risk prediction of the converter valve is realized, and provides good data basis for planned maintenance of the converter valve.

The invention discloses a monorail inspection robot system for a belt conveyor in extreme environment. The monorail inspection robot system comprises an angle steel track composed of an upper side surface and a lower side surface which are perpendicular to each other to form an angle shape, one or more tractors and one or more detection vehicles, the tractors and the detection vehicles are connected through connecting assemblies, the tractors and the detection vehicles are arranged on the angle steel track and can travel along the angle steel track, the tractors are connected with power supplydevices, the detection vehicles are connected with detection devices, and the power supply devices are further electrically connected with the detection devices. According to the monorail inspectionrobot system, instead of an original manual inspection, a robot is used for monitoring the phenomena of temperature, noise level, surface wear, deformation, micro crack and jamming of an idler of a conveyor belt to achieve the fault detection, early warning and remaining life prediction of the idler, the basis is provided for planned maintenance and timely replacement, thus the maintenance cost and production cost are lowered, and the work safety of the personnel is improved.

The invention discloses a server hard disk maintaining method, system and server monitoring equipment; the method mainly comprises the step of performing planned maintenance for the hard disks of the servers with respect to the usage states of the hard disks of each server in a server cluster, that is, acquiring the status information of the hard disks of each server in the server cluster and monitoring the states of the hard disks of the servers; whatever the whole states of the hard disks in the present server cluster are, when the hard disks of the servers have worse states, the hard disks of the servers can be maintained according to preset power-off maintenance conditions. Therefore, when a server has more failed hard disks and the quantity of the failed hard disks in the server cluster does not satisfy the batch replacement condition, the shortage of the capacitor of the server caused by the non-maintenance to the hard disks of the server is avoided; meanwhile, the maintenance process of the server becomes dispersed; compared with the batch replacement of the hard disks, the impact to the server cluster and the communication network caused by large-quantity data reconstruction is avoided and the stability of the server cluster and the communication network is facilitated.

This maintenance management device is provided with a maintenance target device candidate determination unit which determines a maintenance target device candidate in a maintenance segment based on an operation mode determined for a track running vehicle system, and an output unit which outputs the determined maintenance target device candidate. Further, for each maintenance target device, the output unit outputs the time, number of worker, cost, etc., needed for maintenance operations, and supports the user in planning maintenance operations.

The invention discloses a method for evaluating the quality state of a transformer. The method comprises: obtaining a quality cardinal number B of a transformer; determining whether there is a field maintenance record when the transformer runs to a current state, and if yes, evaluating the quality state after the field maintenance according to the field maintenance record and then evaluating the current quality state of the transformer; if not, acquiring an aging parameter F of the current quality state; evaluating the current quality state of the transformer according to the aging parameter F; and determining the quality risk level of the transformer according to the current quality state. Compared with a conventional planned maintenance method, the method evaluates the quality state after the transformer is subjected to field maintenance every time, and then evaluates the quality of each transformer after the transformer operates for a period of time, creates respective overhaul plans accordingly so that each transformer can be timely maintained. The quality state after the maintenance is the reference state so as to improve operational safety.