32results about How to "Life Prediction is Accurate" patented technology

There are provided measuring units of measuring the amount of fluoride ions in the waste material from a fuel cell which receives a fuel gas and an oxidizing agent gas containing oxygen to undergo electrochemical reaction by which electricity is generated and a life predicting unit of predicting the life of the fuel cell by the use of the amount of fluoride ions thus measured.

The invention discloses an IGBT life prediction method and system based on composite failure mode coupling. The method comprises: firstly, calculating a simultaneous failure probability model of a bonding wire and a solder layer; then, calculating the expectation of the simultaneous failure probability model, and recording the expectation as the service life under the coupling effect; establishing a coupling function relational expression; predicting the service life of the solder layer and the service life of the bonding wire; establishing an IGBT service life prediction model without considering the coupling effect; and establishing an IGBT service life prediction model considering the coupling effect. According to the invention, more accurate life prediction can be carried out on the IGBT module under the coupling effect of the solder layer and the bonding wire.

In a system for preparing a wire harness production, a modified wiring pattern generator generates modified wire harness wiring pattern information related to at least one second pattern in which at least one of parts, electric circuits, and wirings of a first pattern including the parts, the electric circuits, and the wirings of a standard type vehicle is altered. A parts information storage stores parts specification information including specifications of the parts, the electric circuits and the wiring included in the second patterns. A simulator simulates whether each of the second patterns is practical while referring to the parts specification information. A sub wiring pattern modifier modifies at least one of first sub patterns constituting the first pattern to at least one of second sub patterns so as to constitute the second pattern judged as practical by the simulator. A jig arrangement pattern information generator generates jig arrangement pattern information related to jig arrangement patterns prepared by applying at least one sub jig arrangement pattern to each of a plurality of wire harness path patterns of the standard type vehicle included in wire harness path pattern information. Path decision information selects one wire harness path pattern among the plurality of wire harness path patterns. Alternation information indicates at least one of alternation portions altered from the first pattern. A jig arrangement pattern selector selects one jig arrangement pattern corresponding to the selected wire harness path pattern among the plurality of wire harness path patterns. A path plan generator generates a path plan by integrating the modified second sub pattern having the alternation portions which is indicated in the alternation information and the selected jig arrangement pattern.

The invention discloses an optimization design method for the storage life of a rubber seal ring. The method includes the steps of conducting the aging acceleration test on a rubber test piece under different installation compression ratios and different temperatures to contain a test curve of the deformation rate and the aging time tau of the rubber test piece, determining A, K and / or alpha through the least square method, determining Z and delta E / R through the least square method, calculating the As value, the value (please see the symbol in the specification) and the Ks value under different installation compression ratios and the storage temperature of Ts, and substituting the values into the formula (please see the formula in the specification) to obtain the aging time tau under different installation compression ratios. By considering the rule of influences of compression ratios on the storage life of the rubber seal ring, the prediction of the life of the rubber seal ring is more accurate; the storage life of the rubber seal ring can be prolonged through optimization design, and guidance is provided for the life design of the seal ring.

The invention discloses a method for extracting the operating condition of the universal battery in the region for the prediction of the service life of the vehicle battery. Shelving period; 2), data collection of actual working conditions in a certain area: real-time collection of battery operating information of different vehicles in the area through the electric vehicle management system; 3), voltage and SOC extraction: extract the operating voltage range and SOC of the battery according to the vehicle operating data Scope; 4), vehicle-mounted operating current extraction step: extract the throughput per unit time of the battery in this area; segment the operating current, and extract the frequency of occurrence of each segment operating current; combine the throughput and the frequency to obtain the throughput per unit time Operating current spectrogram; 5), extraction step of storage and operating temperature: obtain the ambient temperature of the battery in the area as the storage temperature of the battery, and calculate the operating temperature according to the relationship between the temperature rise of the vehicle and the initial temperature.

The invention provides a self-adaptive filtering method for data of a pipeline magnetic flux leakage inner detector, and relates to the technical field of fault diagnosis techniques of pipelines. The method comprises the following steps that magnetic flux leakage signals are acquired by the pipeline inner detector, are amplified and stored, and are transformed into the actual digital voltage signals, the digital voltage signals are subjected to baseline correction, and then the abnormal data are searched, eliminated and compensated; the single-channel signal classification are conducted, and different types of signals are subjected to line filtering through corresponding single-channel self-adaptive filtering algorithms; the influence degree of noises between the adjacent channels is compared and analyzed to implement multi-channel equalization on the magnetic flux leakage signals; and the multi-channel signal area classification is conducted, and the different signal areas are subjected to surface filtering through corresponding multi-channel self-adaptive filtering algorithms. According to the method provided by the invention, the predication of the service life of the pipeline is more accurate, the feature is much easier to extract in the fault diagnosis of the pipeline, the filtering effect is more obvious, and the function of rapidly and accurately processing big data is achieved.

The invention discloses a method and device for life prediction of a balance control module based on a health index. The method includes the following steps: Step S1: Based on the data of the balance control module in each operation, calculate its characteristics in each operation value; Step S2: Construct a health index model, determine the model parameters based on the eigenvalues ​​of the balance control module samples; and based on the extracted eigenvalues, use the health index model after parameter determination to calculate the health indicators of the balance control module in each action ;Step S3: Build a life prediction model, train the prediction model parameters based on the health index sequence and the remaining service life sequence of the balanced control module sample, and obtain the trained life prediction model; Step S4: Put the historical health indicators of the balanced control module to be tested The sequence is input to the trained life prediction model, and its remaining service life is output. The invention can predict the service life of the balance control module with high accuracy.

The invention is a method for predicting the remaining mechanical life of a contact system of a universal circuit breaker based on deep learning. This method uses the deep learning method to carry out life prediction research. Firstly, the concept of effective segment of vibration signal for mechanical life prediction is proposed; secondly, VMD algorithm and double threshold based on short-term energy are introduced to automatically calibrate its interval; again, multi-channel convolutional self-encoding is constructed. Machine network (MCCAE), trained by unsupervised learning method, extracts deep degraded temporal features of effective segments; finally builds long short-term memory neural network (LSTM), takes temporal features as input, and uses supervised learning training method to complete prediction and other steps, The remaining mechanical life prediction of the universal circuit breaker contact system can be effectively completed.

A life prediction apparatus is configured to accurately predict a life of a cable wired at a joint part of a robot. The life prediction apparatus includes a fatigue-level estimation unit for estimating a fatigue level of the cable based on encoder information of an actuator which moves the joint part of the robot, and a life prediction unit for predicting the life of the cable based on a fatigue level of the cable estimated by the fatigue-level estimation unit and an allowable value of the cable.

To provide a data processing device of production equipment that can generate data usable by an operator or an administrator by performing processing for a collected plurality of types of data. A data processing device includes a reference-data acquiring unit configured to acquire, in production equipment, reference data including information concerning time in which a reference for grouping of data operates, a target-data acquiring unit configured to acquire target data concerning a state of the production equipment detected by detectors provided in the production equipment, and a combined-data generating unit configured to generate, for each group of the reference data, combined data for each group obtained by combining, with the reference data, data detected in the same period of time as an operation period of time of the reference data in the target data.