8results about How to "Reduce fault detection time" patented technology

The invention relates to the technical field of the Internet of Things, in particular to a short circuit fault monitoring system and method based on the Internet of Things. According to the method, fault mode identification is carried out based on current characteristic waveforms, prediction is carried out based on historical data, current waveform data are captured in real time by using a high-speed sampling current sensor, and abnormal changes in the current waveforms are identified and marked; an RNN deep learning model is constructed, features are extracted from waveforms, the features are compared with known fault modes, potential short circuit faults are recognized, the constructed deep learning model conducts reasoning based on real-time data, abnormal waveform features are quickly recognized, and therefore quick response is achieved, the fault detection time is greatly shortened, and the fault detection efficiency is improved. According to the method, short-circuit faults in a high-speed circuit are effectively handled, power flow data of multiple nodes are processed in real time by adopting a distributed data aggregation and analysis technology, a Bayesian network model is constructed, potential short-circuit faults are identified when power flow is abnormal, and specific nodes and paths where the faults occur are positioned.

The invention discloses a cable shielding layer damage degree evaluation method, which comprises the following steps of: according to a transmission line theory, enabling a cable under high frequency to be equivalent to a distributed parameter model, establishing a corresponding defect sample library by simulating metal shielding layer damage of different degrees of the cable, and calculating to obtain a broadband impedance spectrum of the cable containing defects under a simulation condition; processing the broadband impedance spectrum to obtain positioning spectrum data containing defect positioning peaks; and performing function fitting on the positioning spectrum data to obtain a damage degree evaluation function of the metal shielding layer. By adopting the method, the damage degree and the damage position of the metal shielding layer of the cable can be quickly and accurately evaluated; when a power grid is maintained and repaired, manpower and material resources can be saved and fault detection time can be shortened by using the method.

The embodiment of the invention provides a bearing fault diagnosis method and device based on MVMD noise reduction and fusing impact pulses and stress waves and electronic equipment, and belongs to the technical field of fault diagnos.The method comprises the steps that a vibration sensor is adopted to collect vibration signal data when an inner ring and an outer ring of a bearing break down; decomposing the collected fault vibration signal data by using a multi-variable variational mode decomposition (MVMD) mode; calculating a correlation coefficient between each IMF and an original fault vibration signal; analyzing the reconstructed signal by using an impact pulse algorithm, calculating an impact characteristic value, and distinguishing an inner ring fault from an outer ring fault of the bearing by using a K-nearest neighbor classification algorithm according to the impact characteristic value and stress wave characteristic parameters to realize automatic identification of fault types; and drawing an envelope spectrogram of the fault signal, and determining a specific part of the fault by analyzing a specific frequency band and a peak value in the envelope spectrogram. According to the scheme, the bearing fault can be judged timely and accurately.

This invention relates to the field of relay protection technology for tugboat DC power grids. It provides a microgrid short-circuit fault protection method based on the difference in current change rate, comprising the following steps: continuously collecting current data; setting two sliding windows to record historical current information; fitting the current data of the first sliding window according to a fitting formula; calculating the current change rate of the first sliding window using the fitting formula; obtaining the operating quantity of the longitudinal differential protection based on the current change rate; calculating the sum of the maximum value of the differential current and the average absolute value of the current at both ends of the cable based on the current data of the second sliding window; obtaining the braking quantity of the longitudinal differential protection from the sum of the maximum value of the differential current and the average absolute value of the current at both ends of the cable; and determining that a bipolar short-circuit fault has occurred in the cable and disconnecting the faulty line when the operating quantity and the braking quantity meet predetermined conditions. This method can expand the compatibility range with changes in transition resistance while shortening the fault detection time, thereby improving the reliability and stability of the DC microgrid.

The invention relates to a machine room ceiling condensation and leakage monitoring and processing method, device and equipment and a medium. The method comprises the steps that environment temperature and humidity data and leakage detection signals in a machine room are collected in real time; determining a condensation risk index corresponding to each cabinet in the machine room through the temperature and humidity data and preset equipment arrangement parameters; and determining a corresponding dehumidification strategy and / or drainage strategy based on the condensation risk index and the leakage detection signal, and correspondingly processing the machine room. The device has the effect of improving the machine room ceiling accumulated water and leakage treatment efficiency.

The invention discloses a detection method, a detection device and electronic equipment, and the detection method comprises the steps: collecting audio information in a vehicle, and analyzing the audio information to obtain one or more noise signals; and determining the air leakage position corresponding to the noise signal according to the working parameters of the vehicle, the noise signal and a preset air leakage position and noise mapping relation. According to the vehicle noise detection device, the detection device is an integral part and is detachably installed in the vehicle or is independent equipment, so that compared with a plurality of noise sensors installed in an existing vehicle, the cost is low, the flexibility is good, and the detection requirements of different vehicles can be met; besides, based on the preset mapping relation between the air leakage position and the noise, the air leakage position can be quickly locked, the fault detection time is saved, the time cost and the operation difficulty are reduced, and even non-professionals can perform detection.

The application relates to a kind of phased array wireless network communication equipment transceiving channel fault online detection methods, and relates to the field of phased array equipment fault detection.In the communication monitoring air interface message interface, monitoring information field and monitoring waveform are designed, when two nodes in the network communicate, the transmitting node air interface sends the communication signal containing monitoring information and monitoring waveform, the receiving node sends the channel number of each receiving channel and the amplitude information of the received single-frequency waveform to the back-end processor, according to the transmitting signal power, relative distance, antenna gain, transmitting / receiving channel gain, the theoretical value of the received signal power can be obtained, the theoretical value is compared with the received signal power obtained by the receiving channel, and whether the transmitting or receiving channel is normal is determined through algorithm and criterion, so that the transceiving channel fault online real-time detection of phased array communication equipment in the process of wireless communication is finally completed.

The utility model discloses a meteorological fault detection equipment belongs to meteorological fault maintenance technical field, and its technical scheme main points include meteorological fault diagnostic instrument, the rear side swing joint of meteorological fault diagnostic instrument has the accomodating fixed establishment, the front side swing joint of meteorological fault diagnostic instrument has the sealed dustproof mechanism, can through the rear side of diagnostic instrument and set up the support box and the accomodating arc groove clamp rod, the arc groove clamp rod accomodates under normal condition and does not affect the carrying, pulls out the arc groove clamp rod in the operation time, and starts drive motor, can firmly hold diagnostic instrument on the maintenance box or outside clippable point, so that the staff need not long time to lift heavy instrument, avoids the instrument from falling off, damaging because of fatigue, eliminates the risk of high altitude projectile, simultaneously, after the instrument is fixed, personnel operation is more convenient, has improved the detection efficiency, can through setting up the sealing box and rotatable sealing cover outside diagnostic instrument, can tightly wrap the wiring port usually, prevents dust, impurity from entering.