53results about How to "Detect anomalies" patented technology

To accurately detect a trouble of a magnetic brake (2) by eliminating any effect of a temperature of a location at which an elevator is installed, a temperature sensor (3) is arranged to measure a temperature of the magnetic brake (2). When an armature (2c) has been attracted responsive to a brake release command, the temperature of the magnetic brake is measured as a first temperature, and before the armature returns responsive to a brake actuation command, the temperature of the magnetic brake is measured as a second temperature. The first and second temperatures are compared with each other. When a result of the comparison between the first and second temperatures is determined to be greater than a predetermined value, the magnetic brake (2) is determined to have been locked and hence, to have developed a trouble.

The present invention provides an automatic checking device of elevators and an automatic checking method capable of detecting abnormity in elevators more reliably, with reduced cost. An elevator car and an elevator counterweight are hung by a main cord of a driving rope sheave winding on a traction machine. A weighing device is mounted on the elevator car to detect the loading of the elevator car as a detecting load. The rotating torque of the driving rope sheave is obtained by measuring the torque current of the traction machine through a torque detecting device. The information respectively from the weighing device and the torque detecting device are introduced into a judgment device where the loading of the elevator car calculated according to information of the torque detecting device is regarded as presumed loading. In addition, whether there is an abnormity capable of being judged by comparing the presumed loading and the detecting loading in the judgment device.

A power conversion apparatus and a malfunction detection method thereof are provided to prevent a failure of one IGBT(Insulated Gate Bipolar Transistor) device from influencing the damage of the other IGBT device, by detecting abnormality of a gate driving circuit and the IGBT device. A power conversion apparatus uses a plurality of voltage controlled semiconductor devices. A pulse generation part(200) generates a command pulse to control on/off of the voltage controlled semiconductor device, on the basis of a command from a control circuit. A gate driving part(400a) receives the command pulse, and controls on/off operation of the voltage controlled semiconductor device by applying a voltage according to the command pulse as a gate voltage, and outputs a gate feedback signal indicating the on/off state of the voltage controlled semiconductor device. A failure detection part(300) detects a failure, by receiving the command pulse and the gate feedback signal. The failure detection part includes a detection part and a signal generation part for generating a signal to stop the command pulse for the voltage controlled semiconductor device.

The invention relates to the technical field of detection methods, in particular to a roller kiln energy consumption anomaly detection method based on self-adaptive principal component analysis. The roller kiln energy consumption anomaly detection method comprises the following specific steps that (1) firstly, a sample L is collected, the collected sample is standardized, and then a covariance matrix S is calculated; (2) characteristic decomposition is carried out on S, a principal component number k is obtained through calculation by using a CPV method, and a characteristic vector and a characteristic value are intercepted to obtain a load matrix P and a characteristic value matrix lambda; (3) an initial control limit is calculated; (4) a new sample of the sample L is continuously collected after a certain moment, standardizing is carried out, and abnormal judgment is carried out on the new sample; and (5) the steps (1), (2), (3) and (4) are circulated until the number of the samplesneeding to be updated reaches the number of the samples needing to be updated, the samples are updated and abnormal information judgment is carried out. According to the roller kiln energy consumptionanomaly detection method based on the self-adaptive principal component analysis, the abnormal condition of the roller kiln can be effectively detected, and the detection efficiency is greatly improved.

The invention provides an ionospheric storm monitoring algorithm based on code and carrier separation. First, an original code reduced carrier measured value is calculated; then, the normal measurement mean Mu0 is estimated, and the actual mean Mu1 is constructed; the standard deviation of the measured value after smoothing is calculated with statistical data; the original data is standardized; and finally, parameters are optimized, and the cumulative sum is calculated. Possible abnormalities in the ionosphere of a local area augmentation system (LAAS) can be detected, and alarm information can be given promptly.

The invention provides an I-type three-level inverter switching tube self-checking method applied to SVG. The I-type three-level inverter switching tube self-checking method comprises the following steps: S1, judging whether a direct-current bus is normal or not according to the ratio of an actual bus voltage sampling value to an input voltage peak value; S2, detecting whether the filter capacitor voltage of the I-type three-level inverter is normal or not; and S3, applying a PWM driving signal to a switching tube of the I-type three-level inverter, determining an inductive current threshold value according to the calculated theoretical value of the inductive current, and comparing the sampled actual value of the inductive current with the inductive current threshold value so as to judge whether the switching tube is normal or not. According to the I-type three-level grid-connected inverter switching tube detection method, the abnormal condition of the I-type three-level grid-connected inverter switching tube can be timely and comprehensively detected through direct-current bus voltage detection, filter capacitor voltage detection and sequential detection of the switching tube without an additional circuit or equipment, and the equipment cost is reduced on the premise that the inverter can be prevented from being further damaged.

The invention relates to an abnormity detection method for a Go AI chess manual file in an SGF format. The method comprises the steps that S1, importing text data of the SGF file; S2, processing the text data on the basis of a word bag model to obtain a series of word sets, and calculating the weight of each word on the basis of the obtained sets; S3, combining the weight sets of the words to obtain language model vectors of the text data; and S4, carrying out anomaly detection by utilizing an anomaly detection algorithm, and outputting a detection result. Compared with the prior art, the method has the advantages that the text is converted into the corresponding vector form based on the word bag model, so that the diagnosis can be carried out by means of some existing abnormal diagnosis algorithms, and the machine diagnosis of the chess manual file can be realized.

The invention provides a system and method for detecting the instantaneity of an industrial control system. The system comprises a data measuring probe, a special-purpose communication network, a detection computer and an accurate time service system; and the system can measure measured value data sent by a transmitter in the industrial control system as well as time in which a performer receives data output by a controller, and calculate the delayed time to obtain the system instantaneity. According to the system and method of the invention, the quality of the industrial control system can be effectively estimated; and the system and method can be also used for detecting abnormities, thereby overcoming the disadvantage in estimating the instantaneity of the industrial control system only according to the data transmission rate.

The invention discloses a fault early warning sensor for a high-voltage cable connector, and the early warning sensor comprises a sensor and a hoop; the hoop is composed of two arc-shaped hoop sheets,and the two sides of the sensor are hinged with the two arc-shaped hoop sheets through hinges; the sensor comprises a shell, a communication interface, a circuit board and a probe, wherein the communication interface is arranged on the shell, the circuit board is fixed inside the shell, the communication interface and the probe are connected with the circuit board through wires, the probe is fixed below the shell, and the probe is in contact with the surface of a cable joint. The high-voltage cable joint fault early warning sensor adopting the structure is simple in structure and easy to install, and can monitor abnormal signals of a cable joint in real time and send out early warning in time.

The invention relates to a laser scanning sensor test system and test method. The method comprises the following steps: step 1, carrying out electrification on a laser scanning sensor test system; step 2, determining whether a CPU board is connected to a power supply; if not, indicating that a power supply board is a defective product, ending the test; and if so, performing step 3; and step 3, acquiring alarm frequency information and acquiring the product condition of the circuit board of the system according to the alarm frequency information. According to the invention, with the laser scanning sensor test system and test method, the abnormal condition of the circuit board of the laser scanner can be accurately detected through the obtained alarm times, so that the production speed is greatly increased. The laser scanning sensor test system and test method can be applied to the field of laser scanning sensors.