791 results about "Smart technology" patented technology

A system and method for facilitating welding system diagnostics is provided. The invention includes a welder, a local system, a remote system, and / or an alarm component. The invention further provides for receiving sensor input(s), performing test sequence(s) based, at least in part, upon the sensor input(s) and / or performing internal diagnostics. The invention further provides for determining a health status of the welder and communicating the health status of the welder to the local system, the remote system and / or the alarm component. The health status of the welder can include welder alarm(s) and / or fault(s). Information regarding the health status of the welder can be sent by telephone, voicemail, e-mail and / or beeper. The welder can communicate with the local system and / or remote system to schedule maintenance. The invention further provides for a expert component to facilitate welding diagnostics based, at least in part, upon the health status of the welder, welder data, an expert data store, a local service support data store, a remote expert data store and / or a remote service support data store. The expert component can employ various artificial intelligence technique(s) (e.g., Bayesian model, probability tree network, fuzzy logic and / or neural network) to facilitate welding diagnostics based, at least in part, upon the health status received from the welder. The expert component can adaptively modify its modeling technique(s) based upon historical success (e.g., learn from success of previous welding diagnostics). The invention further provides for the welder, local system and / or remote system to initiate corrective action, at least temporarily, based, at least in part, upon the health status of the welder.

The invention discloses an internet-facing filtration system of unhealthy information and a method thereof. The unhealthy information filtration system comprises a user data submission module, a user service management system, an auditing platform for user mutual information, an operation platform for purifying service, a knowledge base, and at least an indexing engine. The user data submission module is connected with the user service management system that is connected with the operation platform for purifying service. The operation platform for purifying service is connected respectively with the auditing platform for user mutual information and each indexing engine. The indexing engine is connected with the knowledge base. A plurality of intelligent technologies including word segmentation, keywords matching, and vector model as well as a plurality of processing algorithms with high performances are applied in the invention to process data. According to the invention, indexing services of information including sensitive information, erotic information, vulgar information, junk information, and commercial advertisements and the like are provided for the internet community, so that a high-efficient information management mean is provided for the client.

The invention discloses an on-line transformer fault diagnosis method based on support vector machines (SVM) and dissolved gas analysis (DGA), which belongs to the field of transformer fault diagnosis. The method comprises the following steps of: acquiring the concentration of fault feature gases including H2, CH4, C2H2, C2H4 and C2H6 in transformer insulating oil by a gas chromatographic analysis method, normalizing the data through a preprocessing system, sending the data to a classification diagnosis system assembled by an integrative learning method and formed by six SVM classifiers according to a decision process, classifying the measurement data through calculation, judging the running state of the transformer, and at last outputting the diagnosis results. In the method, the support vector machines (SVM) of the artificial intelligence technology are adopted to analyze the gases in the oil, and the relation between gas components and the running state of the transformer can be objectively and essentially reflected, thereby the accuracy of fault diagnosis is effectively improved.

The present invention discloses a cancer pathology auxiliary diagnosis method based on an artificial intelligence technology. The method comprises the following steps of: canning a plurality of digital pathology images of a system into a computer, performing marking of diseased areas by pathologists to form a digital pathology image database; performing preprocessing of the digital pathology images to form a data set for algorithm training, performing sample collection, and forming a data subset for training; allowing a full convolutional network to use the data subset for training to performiteration training to regulate parameters, and constructing an artificial intelligence analysis module; scanning diagnosis pathology images, and decoding the diagnosis pathology images to access the artificial intelligence analysis module; and performing diagnosis and marking of the diagnosis pathology images by employing the artificial intelligence analysis module, and performing feedback of themarked pathology information to doctors. The cancer pathology auxiliary diagnosis method based on the artificial intelligence technology is high in diagnosis accuracy and can effectively assist doctors in discrimination of cancer pathology information.

The invention relates to a fault diagnostic expert system for a marine electrical propulsion system and an establishing method thereof and belongs to the technical field of artificial intelligence. According to the invention, an artificial neural network technology is introduced into the expert system design to establish the fault diagnostic expert system for the marine electrical propulsion system; the fault diagnostic expert system for the marine electrical propulsion system mainly comprises a man-machine interface module, a neural network module, a knowledge maintenance module, a data management module, a data acquisition module and a database. According to an operation principle and a typical fault mechanism of each equipment of the electrical propulsion system, the invention discloses a design method of a fault diagnosis knowledge base for the electrical propulsion system. The fault diagnostic expert system for the marine electrical propulsion system and the establishing method thereof have the advantage that the expert system structured by applying an artificial neural network solves the problems of knowledge acquisition bottleneck, knowledge maintenance difficulty, low reasoning speed and the like of a conventional expert system, and the practicality of the fault diagnostic expert system is improved.