140 results about "Maintenance planning" patented technology

The invention discloses a preventative device maintenance method based on dynamic reliability and belongs to the technical field of petrochemical equipment management. The preventative device maintenance method based on the dynamic reliability comprises the following steps of 1 establishing a device basic database including equipment accounts, historical maintenance and repair data, a fault strength analysis data, operation monitoring data and the like; 2 utilizing basic data to conduct operation time analysis, fault strength analysis and alarm state and operation trend analysis on devices; 3 utilizing results to establish a device reliability level and fault strength incidence matrix, formulate DRBPM data analysis logic, automatically screen preventative maintenance devices and generate preventative maintenance planning reports of the devices; 4 examining, verifying and executing the preventative maintenance planning reports of the devices. The preventative device maintenance method based on the dynamic reliability can be used for dynamic analysis and management of states of petrochemical equipment, facilitate formulation of scientific and effective device maintenance measures and provide guarantee for timely device fault elimination and production continuity reliability and can be widely applied to the technical field of petrochemical equipment management.

Turnkey maintenance of a customer's aircraft fleet is managed by a single management service provider (MSP) controlling integrated maintenance and materials services from a central operations site. The MSP converts data received directly from on-board aircraft systems into information it uses to manage maintenance service providers and parts suppliers. The MSP contracts with and manages maintenance, repair and overhaul organizations (MROs) who perform the maintenance on the customers' aircraft at line and base stations. The MSP either remotely manages part inventories at the customer's site, or manages suppliers who deliver the parts to the MROs. Maintenance planning, scheduling and execution information is exchanged between the MSP, MROs, part suppliers and the customers through a shared data communication network controlled by the MSP. The MSP charges the customer for the maintenance services based on a flat rate per unit of aircraft flying time.

A maintenance planning system comprises a counter value acquiring unit to acquire a counter value indicating use results of consumable parts of a plurality of apparatuses that are maintenance targets; an interval information acquiring unit, among information related to a combination of a visit interval to specify a time interval to visit installation places of the plurality of apparatuses that are maintenance targets to perform a maintenance check operation for the plurality of apparatuses that are maintenance targets with a replacement interval specified to replace each consumable part and associated with the visit interval, to acquire a combination of the visit interval and the replacement interval for minimizing a predetermined cost for each consumable part of the plurality of apparatuses that are maintenance targets; a maintenance plan creation unit, on the basis of the minimized visit interval and replacement interval acquired by the interval information acquiring unit and the counter value acquired by the counter value acquiring unit, to identify the apparatus that is a maintenance target to be visited next, timing of next visit, and a consumable part to be replaced at the timing; and a display unit to display information identified by the maintenance plan creation unit on a terminal.

Turnkey maintenance of a customer's aircraft fleet is managed by a single management service provider (MSP) controlling integrated maintenance and materials services from a central operations site. The MSP converts data received directly from on-board aircraft systems into information it uses to manage maintenance service providers and parts suppliers. The MSP contracts with and manages maintenance, repair and overhaul organizations (MROs) who perform the maintenance on the customers' aircraft at line and base stations. The MSP either remotely manages part inventories at the customer's site, or manages suppliers who deliver the parts to the MROs. Maintenance planning, scheduling and execution information is exchanged between the MSP, MROs, part suppliers and the customers through a shared data communication network controlled by the MSP. The MSP charges the customer for the maintenance services based on a flat rate per unit of aircraft flying time.

A method for configuring the physical model of a heat recovery steam generator that can estimate the state quantity of generated steam from the state quantity of the exhaust gas to be introduced, and capable of establishing the physical model of a combined cycle power generation facility thereby. The optimum values for the flow rates Flp and Fhp, pressures and temperatures Tlp and Thp of the low pressure main steam and high pressure main steam are computed in such a way as to ensure that an objective function E stored in advance will come close to zero.

The present invention provides a device management system. The system comprises a device file management module, a maintenance planning management module, a fault management module, an inspection maintenance work order management module, an expense budget module, a statistic analysis management module, a prompting module and a system management module. The device file management module is configured to store and manage the basic static information, the whole life cycle document data, the device faults, the maintenance history and the device changing information of a device and provide functions of addition, deletion, modification, query and statistics analysis; and the maintenance planning management module is configured to perform establishment, examination and approval, issuing and execution, statistics and analysis query of a preset plan project; and the fault management module is configured to report fault records and start a fault confirmation process after device defects or faults are detected, eliminate faults according to the corresponding preset fault processing mode after confirmation of the faults and record the faults in the fault knowledge base. The efficiency and the precision of management are improved, and a lot of manpower is saved.

Equipment uptime is getting increasingly important across different industries which seek for new ways of increasing equipment availability. Detecting faults in the system by condition based maintenance (CBM) is not enough, because at the time of fault occurrence, the spare parts might not available or the needed resources (maintainers) are busy. Therefore, prediction failures and estimation of remaining useful life can be necessary. Moreover, not only predictions but also uncertainty in the predictions is critical for decision making. Example implementations described herein are directed to tuning parameters of deep learning network architecture by developing a mechanism to optimize for accuracy and uncertainty simultaneously, thereby achieving better asset availability, maintenance planning and decision making.

Turnkey maintenance of a customer's aircraft fleet is managed by a single management service provider (MSP) controlling integrated maintenance and materials services from a central operations site. The MSP converts data received directly from on-board aircraft systems into information it uses to manage maintenance service providers and parts suppliers. The MSP contracts with and manages maintenance, repair and overhaul organizations (MROs) who perform the maintenance on the customers' aircraft at line and base stations. The MSP either remotely manages part inventories at the customer's site, or manages suppliers who deliver the parts to the MROs. Maintenance planning, scheduling and execution information is exchanged between the MSP, MROs, part suppliers and the customers through a shared data communication network controlled by the MSP. The MSP charges the customer for the maintenance services based on a flat rate per unit of aircraft flying time.

Turnkey maintenance of a customer's aircraft fleet is managed by a single management service provider (MSP) controlling integrated maintenance and materials services from a central operations site. The MSP converts data received directly from on-board aircraft systems into information it uses to manage maintenance service providers and parts suppliers. The MSP contracts with and manages maintenance, repair and overhaul organizations (MROs) who perform the maintenance on the customers' aircraft at line and base stations. The MSP either remotely manages part inventories at the customer's site, or manages suppliers who deliver the parts to the MROs. Maintenance planning, scheduling and execution information is exchanged between the MSP, MROs, part suppliers and the customers through a shared data communication network controlled by the MSP. The MSP charges the customer for the maintenance services based on a flat rate per unit of aircraft flying time.

The invention relates to a method for realizing reliability maintenance planning of a high temperature pipeline system, which comprises the following steps of: collecting and acquiring detection data of a high temperature pipeline system; calculating a finite element of the high temperature pipeline system; determining creep damage parameters according to the influence degree of all factors on the life of the high temperature pipeline; creating a creep damage probability model through determining the probability distribution of the creep damage parameters; calculating a structural failure probability according to the creep damage probability model; creating a maintenance planning model based on reliability analysis according to the detection data, test results of materials and structures of the high temperature pipeline system and the structural failure probability; and carrying out calculation processing according to the maintenance planning model to obtain the optimal maintenance time of the high temperature pipeline system. By adopting the method for realizing the reliability maintenance planning of the high temperature pipeline system, the structural reliability is determined efficiently and accurately, a maintenance scheme can be accurately determined, the similar problem of the maintenance planning of the high temperature pipelines in other fields can be solved, and the method has wider application range.

A system for predicting a failure of equipment from prior maintenance data of the equipment collected during a time duration estimate a number of preceding failures of the equipment prior to the time duration. The system constructs a model, based on the prior maintenance data, of an impact of an external intervention on a failure of the equipment. The system constructs a model, based on the constructed model of the impact of the external intervention and the estimated number of preceding failures, of a replacement policy of the equipment and a probability of a subsequent failure of the equipment in a subsequent time period.

The invention belongs to the technical field of system reliability analysis and design, and particularly discloses a nuclear power equipment system reliability assessment method, which comprises the following steps: firstly, carrying out fault mode and influence analysis on equipment according to functional structure decomposition and related fault information of nuclear power equipment; establishing a fault tree model of the equipment based on a fault tree analysis method; then, establishing a reliability prediction and distribution model of the equipment; establishing a reliability analysismodel considering common cause failure; On the basis of previous analysis, after maintenance factors in the service period are considered, a maintenance strategy analysis model based on reliability isestablished to formulate a periodic maintenance strategy; and finally, based on a human factor engineering simulation platform, establishing an equipment inspection and maintenance simulation model to analyze a specific inspection and maintenance process. The model established by the invention can provide important reference and guidance for actual nuclear power equipment design, operation, maintenance planning and the like.

In one embodiment, a method for repair planning for a location in a repair network includes modeling: (1) an uninspected buffer for parts received but not yet inspected at the location; (2) a first buffer for parts inspected at the location and repairable at the location; (3) a second buffer for parts inspected at the location and not repairable at the location; (4) a third buffer for parts inspected at the location and not repairable at any location in the repair network; and (5) a fourth buffer for parts inspected at the location and serviceable without repair. The parts in the uninspected buffer are assigned to the first, second, third, and fourth buffers at corresponding rates according to an inspection operation. One or more operation plans are generated to push parts out of the uninspected buffer to the first, second, third, and fourth buffers according to the corresponding rates, a part pushed out being available within the first, second, third, or fourth buffer only after a predetermined disposition time has elapsed. An operation plan is generated to push parts out of the second buffer to one or more upstream locations, a part pushed out being available at an upstream location only after a predetermined move lead time has elapsed. For each part pushed out of the uninspected buffer to the first or second buffer, the earliest time at which repair can begin for the part is estimated, this earliest repair time determining the earliest time at which, after the part has been repaired to make it serviceable, the part can be available to satisfy a demand at the location.

A system, method and computer program product for predicting a failure of equipment from prior maintenance data of the equipment collected during a time duration estimate a number of preceding failures of the equipment prior to the time duration. The system, method and computer program product construct a model, based on the prior maintenance data, of an impact of an external intervention on a failure of the equipment. The system, method and computer program product construct a model, based on the constructed model of the impact of the external intervention and the estimated number of preceding failures, a replacement policy of the equipment and a probability of a subsequent failure of the equipment in a subsequent time period.

In one embodiment, planning repairs in response to demand in a multi-level repair network includes accessing a forecasted demand for serviceable parts at a repair location and, for each inspected unserviceable part at the location that is not repairable at the location: (1) planning a move of the part to an upstream repair location such that the part can be available for repair at the upstream location at an estimated earliest time; (2) estimating a latest time at which a repair of the part can begin at the upstream location to help satisfy the forecasted demand, according to the forecasted demand and the estimated earliest time, and planning a repair at the upstream location at the estimated latest time; and (3) re-planning the move, according to the start time of the repair, by modifying a move delivery time according to a repair start time and modifying a move start time according to the modified delivery time. The re-planned move start time is an estimated latest time at which the part can be moved to the upstream location for repair to help satisfy the forecasted demand.

In one embodiment, a method is provided for planning repairs in response to demand in a multi-level repair network of locations at which parts may be repaired. Modeled for a location are: (1) an unserviceable buffer for parts inspected at the location and repairable at the location, and (2) a serviceable buffer for parts inspected at the location and serviceable without repair. A forecasted demand, for a quantity of serviceable parts at a future time at the location, is accessed. In a push planning phase, for each inspected part in the unserviceable buffer, the earliest time at which repair can begin for the part at the location is estimated. In a pull planning phase, if the forecasted demand cannot be satisfied using parts in the serviceable buffer: (1) a quantity of parts in the unserviceable buffer repairable at the location and available to help satisfy the forecasted demand is estimated; (2) the latest time at which repair can begin with respect to these parts at the location to help satisfy the forecasted demand is estimated; and (3) repair for these parts is planned at the estimated latest time to pull these parts from the unserviceable buffer, from which they cannot be put to service to help satisfy the forecasted demand, into the serviceable buffer, from which they can be put to service to help satisfy the forecasted demand.

Turnkey maintenance of a customer's aircraft fleet is managed by a single management service provider (MSP) controlling integrated maintenance and materials services from a central operations site. The MSP converts data received directly from on-board aircraft systems into information it uses to manage maintenance service providers and parts suppliers. The MSP contracts with and manages maintenance, repair and overhaul organizations (MROs) who perform the maintenance on the customers' aircraft at line and base stations. The MSP either remotely manages part inventories at the customer's site, or manages suppliers who deliver the parts to the MROs. Maintenance planning, scheduling and execution information is exchanged between the MSP, MROs, part suppliers and the customers through a shared data communication network controlled by the MSP. The MSP charges the customer for the maintenance services based on a flat rate per unit of aircraft flying time.