Provided is an operating method of a wearable device, the method including setting a threshold voltage when there is not a physical contact of an outsider, measuring an envelope voltage while performing a data communication, determining whether to be the physical contact with the outsider by comparing the threshold voltage with the envelope voltage, and stopping the data communication, when there is the physical contact with the outsider.

Provided is an operating method of a wearable device, the method including setting a threshold voltage when there is not a physical contact of an outsider, measuring an envelope voltage while performing a data communication, determining whether to be the physical contact with the outsider by comparing the threshold voltage with the envelope voltage, and stopping the data communication, when there is the physical contact with the outsider.

Disclosed is an intelligent on-line diagnosis method for winding deformation of power transformer. When a transformer is subjected to short-circuit shock or transportation collision, transformer windings may undergo local twisting, swelling or the like under the action of an electric power or mechanical force, which is called winding deformation and will cause a huge hidden danger to the safe operation of the power network. Commonly used diagnosis methods for winding deformation are all off-line diagnosis methods, which have the disadvantages that transformers need to be shut down and highly skilled operators are required. The present invention provide an intelligent on-line diagnosis method for winding deformation on the basis of combination of information entropy and support vector machine. By carrying out feature extraction of current and voltage signals based on permutation entropy and wavelet entropy, integrating the variation of the monitoring indicators of the power transformers in complexity, time-frequency domain and the like and automatically learning the diagnostic logic from fault features through the machine learning algorithm, intelligent diagnosis of winding deformation is realized, thereby reducing labor costs and improving diagnosis efficiency.

Disclosed is an intelligent on-line diagnosis method for winding deformation of power transformer. When a transformer is subjected to short-circuit shock or transportation collision, transformer windings may undergo local twisting, swelling or the like under the action of an electric power or mechanical force, which is called winding deformation and will cause a huge hidden danger to the safe operation of the power network. Commonly used diagnosis methods for winding deformation are all off-line diagnosis methods, which have the disadvantages that transformers need to be shut down and highly skilled operators are required. The present invention provide an intelligent on-line diagnosis method for winding deformation on the basis of combination of information entropy and support vector machine. By carrying out feature extraction of current and voltage signals based on permutation entropy and wavelet entropy, integrating the variation of the monitoring indicators of the power transformers in complexity, time-frequency domain and the like and automatically learning the diagnostic logic from fault features through the machine learning algorithm, intelligent diagnosis of winding deformation is realized, thereby reducing labor costs and improving diagnosis efficiency.

A power supply in a test and measurement device includes a stimulus having an output coupled to an amplifier in which an output signal from the stimulus controls an output level of the amplifier. The stimulus may include a Digital to Analog Converter. A measurement circuit detects the output level of the amplifier. The power supply includes an overpulse generator that can be structured to accept a desired amplifier output level, overdrive the stimulus at a first level for a first time period, and drive the stimulus at a second level for a second time period. The measurement circuit determines when the overpulse generator switches from driving the stimulus at the first level to driving the stimulus at the second level. The time period for driving the stimulus at the second level starts as the actual amplifier output level approaches the desired amplifier output level.

A testing device for electronic dies includes a first support part and a second support part configured to be removably assembled with each other. The first and second support parts together define at least one housing where at least one electronic die can be arranged to be tested. The electronic die has a first surface with contacting elements. The at least one housing includes a first portion. This at least one housing is arranged to enable the at least one electronic die to occupy a first position in the housing where the first surface is spaced apart from the first portion, and is further arrange to enable the at least one electronic die to occupy a second position in the housing where the first surface bears against the first portion.

A method and apparatus for monitoring a secondary power device, for accurately checking a state of the secondary power device, and an electronic system including the apparatus are provided. The method of monitoring a secondary power device includes: setting a first reference parameter by using a voltage of at least one capacitor of the secondary power device; setting a second reference parameter by using the voltage of the at least one capacitor and the first reference parameter; and setting a reference level for checking of the state of the secondary power device by using the second reference parameter, wherein the reference level is used in checking of the state of the secondary power device.

A calibration apparatus for calibrating at least one of a signal generator and a signal analyzer is described, wherein the calibration apparatus comprises an input terminal for establishing a connection with the signal generator, an output terminal for establishing a connection with the signal analyzer, a reference signal source for providing a reference signal, and a combiner circuit for combining signals received. The combiner circuit has a first input connected to the reference signal source and a second input assigned to the input terminal, the combiner circuit having an output assigned to the output terminal. Further, a calibration system and a method for calibrating at least one of a signal generator and a signal analyzer are described.

A calibration apparatus for calibrating at least one of a signal generator and a signal analyzer is described, wherein the calibration apparatus comprises an input terminal for establishing a connection with the signal generator, an output terminal for establishing a connection with the signal analyzer, a reference signal source for providing a reference signal, and a combiner circuit for combining signals received. The combiner circuit has a first input connected to the reference signal source and a second input assigned to the input terminal, the combiner circuit having an output assigned to the output terminal. Further, a calibration system and a method for calibrating at least one of a signal generator and a signal analyzer are described.

Monitoring isolation resistance to validate vehicle charger functionality is provided. A system can include a first one or more resistors connected to a first terminal of a first direct current bus of a charger. The charger can be configured to deliver power to a first electric vehicle. The system can include a controller comprising circuitry. The controller can be configured to determine a resistance at the first one or more resistors. The controller can control delivery of power to the first electric vehicle responsive to a comparison of the resistance at the first one or more resistors with a threshold.