4 results about "Corrective maintenance" patented technology

The application relates to a failure prediction maintenance method and device with a preventable strategy, and relates to the field of equipment prediction and maintenance technology. In view of the problems in the prior art that a traditional two-state reliability model is difficult to accurately describe the degradation degree, failure condition and maintenance state of a system in a service life, the calculation process is relatively single, and the result error is relatively large, the technical scheme is as follows: the failure prediction maintenance method with the preventable strategy comprises the following steps: collecting a probability distribution obeyed by the residual life of a system; collecting maintenance time and maintenance cost; establishing an optimization model; iteratively processing the model to obtain an optimal failure prediction interval and a residual life threshold value; when the optimal failure prediction interval is reached, the residual life of the system is predicted, the residual life is compared with the threshold value, and if the residual life is lower than the threshold value, the system is subjected to corrective maintenance, and if the residual life is higher than the threshold value, the system is subjected to preventive maintenance. The application is suitable for application in preventive maintenance work, and establishes a new research basis for the research of preventive maintenance work.

This invention presents an intelligent global dynamic maintenance method for multi-component systems considering imperfect maintenance, based on deep reinforcement learning. First, it acquires the degradation observation sequence of each component through periodic inspections, establishes a stochastic process model of component degradation, and achieves iterative RUL prediction through offline training and online Bayesian updates. Then, it determines the baseline predictive maintenance timing and, considering imperfect maintenance improvement factors, determines the baseline delayed maintenance time. Simultaneously, it constructs a maintenance timing deviation penalty cost model for group maintenance. Next, it uses the PPO algorithm to perform rolling optimization on the dynamic global group maintenance (DGGM) to output maintenance combinations and maintenance execution times. When a sudden failure occurs during operation, dynamic opportunistic imperfect maintenance (DOIM) is triggered, performing corrective maintenance on the failed component and determining the opportunistic maintenance component set, synchronously updating subsequent maintenance plans, thus achieving intelligent global dynamic maintenance decision-making in an infinite time domain. This invention realizes joint optimization of predictive and opportunistic maintenance for multi-component systems.

The present application is applicable to the technical field of rail transit, and discloses a system and method for monitoring a secure data network of a railway train control system, a device, and a medium. The system comprises a channel monitoring device and a central maintenance device, wherein the channel monitoring device is deployed on the side of a station device and / or a central device in a secure data network of a railway train control system, and the channel monitoring device and the central maintenance device are independently networked to form a supervisory data network; the channel monitoring device collects in real time channel communication data of the station device and / or the central device in the secure data network of the railway train control system, and sends the collected channel communication data to the central maintenance device by means of the supervisory data network; and the central maintenance device receives the channel communication data collected in real time, and performs multi-dimensional processing on the data to determine a channel communication data anomaly analysis result. The solution of the present application has the effects of high sampling accuracy, high security, and accurate anomaly localization, and can realize a transition in the operations and maintenance of a secure data network from corrective maintenance to condition-based maintenance by means of intelligent analysis.

The application provides a kind of optimization method of six-rotor unmanned aerial vehicle maintenance strategy, including determining the kind of maintenance strategy and the energy consumption cost of each maintenance strategy;Wherein, maintenance strategy includes preventive maintenance strategy, preventive replacement strategy, corrective maintenance strategy and start new component strategy;According to the energy consumption cost of each maintenance strategy, and combined with the preset variable to be solved, the objective function with the minimum system operation and maintenance cost rate as the target is constructed;Wherein, the variable to be solved includes unit state difference threshold, preventive maintenance frequency threshold and detection interval;The minimum solution of target function is iterated, and the optimal solution of unit state difference threshold, detection interval and preventive maintenance frequency threshold in the variable to be solved is obtained, to optimize and adjust the corresponding maintenance strategy. By implementing the application, the problem of unbalance of fault components and unbalance of unit state difference in six-rotor unmanned aerial vehicle can be solved at the same time, and the effectiveness and feasibility of maintenance strategy are improved.