34 results about "Failure index" patented technology

The present invention performs machine learning wherein: the period between a reference time point, which corresponds to a failure prediction time point, and an earlier time point, which is a predetermined first length of time earlier than the reference time point, is set as a warning sign detection period; if no failure occurred during the period between the reference time point and a later timepoint, which is a predetermined second length of time later than the reference time point, then that period is set as a prediction period, and otherwise if a failure occurred during the period betweenthe reference time point and the later time point, then the period between the reference time point and the time point at which the failure occurred is set as the prediction period; the reference time point is then sequentially shifted; a feature quantity based on operation log information obtained during the warning sign detection period is set as an explanatory variable; and a failure index value is set as a response variable, the failure index value being based on whether or not occurrence of a specific event is indicated by operation log information associated with failure occurrence indicated by failure record information obtained during the prediction period, and also based on the length of time between the reference time point and the time point at which the failure occurred.

The invention relates to a composite material Pi-shaped gluing connection structure tensile strength prediction method based on an average invalidation index. The method includes the following steps: (1) a Pi connector geometrical model is built according to geometrical parameters of a composite material Pi-shaped gluing connection structure; (2) determining tensile load and boundary condition of the composite material Pi-shaped connector geometrical model according to the stress condition of the integrated composite material structure; (3) acquiring an accurate Pi connector three-dimensional finite element model through grid encryption based on the Pi connector geometrical model, meanwhile ensuring that grids on key connection faces L, U and B are even and calculating stress distribution of the three-dimensional finite element model under tensile load; (4) extracting positive axis stress component value of nodes on the Pi connector key connection faces L, U and B and calculating the invalidation index Rij on the key connection face; (5) respectively calculating the average invalidation indexes based on the key connection faces L, U and B of the Pi connector; (6) conducting calculation according to the tensile load P0 and the maximum value of the average invalidation indexes to obtain the invalidation strength value P of the obtained connector. The method is applicable to engineering application, can remarkably shorten the developing period of the Pi connector and reduces test cost.

The invention discloses a method for evaluating the service operation quality of a power communication network. The method mainly includes: constructing a communication network model; calculating the probability of occurrence of different failure scenarios according to the Markov state transition theory; determining the factors to be considered according to the set confidence interval The number of failure scenarios; calculate the average service failure index and average service impact index under different failure scenarios according to the failure scenarios considered, and combine the failure probabilities of different scenarios to obtain the comprehensive service failure index and comprehensive service impact index of the entire network; by comparing different networks or Under different service distributions on the same network, the magnitude of the network-wide comprehensive service failure index and the network-wide comprehensive service impact index determines the quality of network service operation. The method of the invention can objectively reflect the business risk status of the power communication network, and involves low calculation complexity of the algorithm.

The invention discloses a method for making a de-icing policy of a tower line system through orthogonal analysis. The method comprises the steps of 1, building a three-dimensional finite element model of the tower line system; 2, determining a multi-factor two-level orthogonal table, compiling a multi-factor two-level orthogonal test scheme, and defining mechanics failure indexes of towers; 3, according to the multi-factor two-level orthogonal test scheme, applying designed wind load and ice load to a hanging position of each wire insulator and a hanging position of each ground wire respectively by adopting a finite element method, simulating stress conditions of each tower under different loads, and obtaining a maximum axial stress ratio and a dangerous unit number of an angle steel unit of each tower; and 4, for each index, calculating an index average value of each factor and each level, and obtaining a most serious icing condition according to the index average value, thereby obtaining an optimal de-icing sequence. According to the method, the most serious icing condition can be assessed under the condition of giving parameters of icing, a wind speed, a span and the like, and the optimal de-icing sequence of the tower line system is given.

The invention provides a method for predicting the residual life of a centrifugal pump. According to the method for predicting the residual life of the centrifugal pump, the characteristic curve of the centrifugal pump is used as the burn-out life evaluation index of the centrifugal pump, the characteristic curve of the centrifugal pump in the operating process is drawn by arranging corresponding sensors on centrifugal pump residual life prediction monitoring points, and the residual life of the centrifugal pump is predicted based on an ARMA time sequence according to the change tendency of the characteristic curve. Since the characteristic curve of the centrifugal pump is used as the life evaluation index, the method is suitable for centrifugal pumps which operate under different working conditions; and corresponding failure indexes are established according to different use requirements, so that the residual life of the centrifugal pump is effectively predicted, and the utilization efficiency of the centrifugal pump is increased to the maximum extent.