An apparatus for sensing a rotating body includes a unit to be detected, including a first pattern portion having at least one first pattern and a second pattern portion having at least one second pattern, and configured to rotate around a rotating shaft, a sensor module comprising a first sensor disposed opposite to the first pattern portion and a second sensor disposed opposite to the second pattern portion, and a rotation information calculator configured to calculate a difference value by differentiating output signals of the first sensor and the second sensor, and to compare comparison values, determined according to a target sensing angle and a size of the first pattern and the second pattern, with the difference value.

An apparatus for sensing a rotating body includes a unit to be detected, including a first pattern portion having at least one first pattern and a second pattern portion having at least one second pattern, and configured to rotate around a rotating shaft, a sensor module comprising a first sensor disposed opposite to the first pattern portion and a second sensor disposed opposite to the second pattern portion, and a rotation information calculator configured to calculate a difference value by differentiating output signals of the first sensor and the second sensor, and to compare comparison values, determined according to a target sensing angle and a size of the first pattern and the second pattern, with the difference value.

An embodiment of an equipment health state monitoring method adapted to monitor an equipment having a monitored part, including: obtaining a plurality of first values of the monitored part from a sensor in a first time period; extracting a plurality of first parameters from the first values; generating an equipment health state index model according to the first parameters; obtaining a plurality of second value from the sensor in a second time period after the first time period; extracting a plurality of second parameters from the second values; generating a plurality of equipment health state indices according to the second parameters and the equipment health state index model; generating a health state control chart according to the equipment health state indices; and determining whether each of the equipment health state indices locates in an alert area of the health state control chart and outputting a determination result accordingly.

An embodiment of an equipment health state monitoring method adapted to monitor an equipment having a monitored part, including: obtaining a plurality of first values of the monitored part from a sensor in a first time period; extracting a plurality of first parameters from the first values; generating an equipment health state index model according to the first parameters; obtaining a plurality of second value from the sensor in a second time period after the first time period; extracting a plurality of second parameters from the second values; generating a plurality of equipment health state indices according to the second parameters and the equipment health state index model; generating a health state control chart according to the equipment health state indices; and determining whether each of the equipment health state indices locates in an alert area of the health state control chart and outputting a determination result accordingly.

A vibration rectification error correction device includes a first filter that operates in synchronization with the measured signal, and a second filter that operates in synchronization with the reference signal, in which the first filter generates a third signal based on a first signal having a first group delay amount and a second signal having a second group delay amount, the second filter receives a signal based on the third signal and outputs a fourth signal, and a first vibration rectification error and a second vibration rectification error have different polarities.

A two-wire reference accelerometer includes integrated mechanical transducing and self-calibration capability based on gravity only. The reference accelerometer includes an external two-wire connector and an internal three-wire transducer that responds to both steady-state acceleration and time-varying accelerations by producing a modulated transducer output signal having a steady-state waveform when the transducer senses steady state acceleration and a time-varying waveform when the transducer senses time-varying accelerations. A signal conditioning circuit conditions the transducer output signal and applies it to the two-wire electrical connector as a modulated reference accelerometer output signal. The transducer and the signal conditioning circuit can operate without modification in either a DUT calibration mode or a self-calibration mode. The self-calibration mode determines the 1 g output sensitivity of the reference accelerometer from first and second readings of the reference accelerometer output signal taken while the reference accelerometer rests on a non-accelerating surface in respective non-inverted and inverted orientations.

A microelectromechanical gyroscope which comprises one or more Coriolis masses driven by a drive transducer and a force-feedback system. The force-feedback circuit comprises first and second sideband modulators and the self-test circuit comprises first and second sideband demodulators.

The present application discloses a calculation method for thickness of inner oxide layer of a martensitic heat-resistant steel in steam environment. The calculation method takes into account the steam temperature, the steam pressure and the operation time, which are the three factors that have significant effects on the thickness of the oxide layer, and with the help of a metal oxidation kinetic model, the formula is mathematically modified by combining a large number of actual operation and laboratory simulation experimental data of the power plant. A calculation method for thickness of inner oxide layer of 9% Cr martensitic heat-resistant steel in steam environment is obtained by using linear fitting and curve fitting, etc.

The present application discloses a calculation method for thickness of inner oxide layer of a martensitic heat-resistant steel in steam environment. The calculation method takes into account the steam temperature, the steam pressure and the operation time, which are the three factors that have significant effects on the thickness of the oxide layer, and with the help of a metal oxidation kinetic model, the formula is mathematically modified by combining a large number of actual operation and laboratory simulation experimental data of the power plant. A calculation method for thickness of inner oxide layer of 9% Cr martensitic heat-resistant steel in steam environment is obtained by using linear fitting and curve fitting, etc.

A vehicle detection method includes using a first sensor and a second sensor coupled to a structure to detect vibrations generated by one or more vehicles that have passed over the structure. Based on the vibrations detected by the first sensor, a first plurality of peaks are extracted, and based on the vibrations detected by the second sensor, a second plurality of peaks are extracted. Each of the first plurality of peaks and the second plurality of peaks corresponds to an axle of the one or more vehicles. The first plurality of peaks and the second plurality of peaks are then computed to determine a number of vehicles that have passed over the structure.