7results about How to "Easy fault detection" patented technology

This invention discloses a unified management method and system for provincial and municipal station dispatching, relating to the field of integrated operation and management technology. The method includes: receiving data from provincial and municipal station monitoring equipment, including timestamps, event codes, and associated parameters; analyzing the data to identify data fluctuations; and filtering potential fault signals by comparing historical patterns to obtain initial fault screening results. The unified management method for provincial and municipal station dispatching provided by this invention achieves early identification of fault signals and accurate classification of abnormal patterns by receiving and analyzing data from monitoring equipment. It improves the efficiency and accuracy of data analysis by comparing real-time and historical data, accelerates fault detection and enhances the handling capability of complex abnormal situations by identifying data changes in different time periods, sets alarm response times and processing priorities for different anomaly types to improve emergency response efficiency, optimizes network traffic management strategies and data transmission paths, reduces processing latency, improves network performance and stability, and effectively enhances operational efficiency and user experience.

The utility model discloses a portable multifunctional machine tool fault detection device, and relates to the technical field of machine tool maintenance. The device comprises a mounting plate, a detection assembly is arranged on the upper surface of the mounting plate, and a grip assembly is further arranged on the lower surface of the mounting plate; the detection assembly comprises a detection shell fixedly connected to the upper surface of the mounting plate. According to the utility model, the odor sensor and the visual camera in the detection shell are used for carrying out fault detection on the machine tool in various modes, and the driving rack drives the gas collecting hood to rotate in a reciprocating manner, so that air on the machine tool is guided into the detection shell through the gas collecting hood for detection; the problems that in the prior art, the function is single, and fault detection cannot be conveniently conducted on the interior of the machine tool are solved, meanwhile, the mounting plate and the detection structure are conveniently held through the holding rod, the position and angle of the detection structure are adjusted through the second lead screw, the second U-shaped frame and the third U-shaped frame, and the problem that in the prior art, carrying is not convenient is solved.

The application discloses a kind of long and narrow channel-oriented wireless access device and method, device includes a plurality of sequentially connected access point units, access point unit includes: directional antenna, for realizing the signal coverage of specified channel area;Photoelectric converter group, for completing the photoelectric / electro-optical conversion of serial signal;Environment sensor, for monitoring the environment in channel;Central processing unit, for receiving, processing and forwarding data;External interface, for the connection of host computer and central processing unit, realizes data transceiving;Access point unit is connected by photoelectric converter group each other.The long and narrow channel of the application is split into multiple sections, each long and narrow channel is covered by directional antenna on wireless access device, and wireless access device is connected by optical fiber, supports multiple connection modes, designs special network configuration frame, solves the problem that existing wireless router or base station is high in cost and poor in reliability in long and narrow channel environment.

The application discloses a method for detecting equipment failure, a related device and system. In the method, when an electronic device fails, another electronic device can be used to detect the failure of the electronic device. The method has low requirements for other electronic devices that fail, and can accurately and quickly detect the failure even if the detected electronic device has limited running space, does not have self-checking capability, is not configured with an input device, or is large in size and not easy to carry. The method is suitable for any type of electronic device, can conveniently detect failure, and ordinary users can independently initiate failure detection, thereby improving operability and convenience, reducing the dependence of users on after-sales service, and improving user experience.

The invention discloses an air conditioning system detection method and device, a program product, a medium and an air conditioning system.The air conditioning system comprises at least two outdoor heat exchange modules, each outdoor heat exchange module comprises a heat exchanger, and the method comprises the steps that temperature data of all the heat exchangers before the air conditioning system operates stably are obtained; and based on the temperature data of all the heat exchangers, fault detection is conducted on an outdoor heat exchange module of the air conditioning system. According to the technical scheme, the fault detection capacity of the air conditioning system can be improved.

The invention relates to the technical field of wind power generation, in particular to a fault detection method and system for a wind driven generator based on deep learning. According to the wind driven generator fault detection method based on deep learning, a network model is constructed by introducing a bidirectional long-short-term memory network and a Softmax classifier through an improved convolutional neural network, and model pre-training is carried out based on operation historical data and a fault type so as to obtain a pre-trained fault detection network model. Introducing a transfer learning mechanism training model to obtain a trained fault detection network model; the trained fault detection network model can more comprehensively and accurately capture fault features by extracting multi-scale local features and carrying out time sequence feature learning, so that the fault detection precision is improved, and misinformation and missing report conditions are reduced. Meanwhile, by introducing a transfer learning mechanism, the model can quickly adapt to different types of wind driven generators.

The application discloses a kind of ADN early fault detection method and application based on high-frequency TFM network, comprising: 1, the current and voltage data collected are preprocessed and divided dataset;2, design is based on high-frequency characteristic attention time-frequency memory network core structure;3, construct is based on high-frequency characteristic attention time-frequency memory network;4, the output result of test set sample is obtained based on high-frequency characteristic attention time-frequency memory network.This application provides multi-scale multi-resolution analysis of time series based on high-frequency characteristic attention time-frequency memory network, can dynamically capture the characteristics of data in time domain and frequency domain, to improve the detection accuracy of early fault, meet the actual demand of accurate and fast.