A state diagnosis apparatus of a moving system part is provided and includes a sensor unit that measures and collects state data of a moving system part relevant to an engine. A graphic controller primarily diagnoses classification data generated by classifying the state data according to a predetermined filtering condition as a normal state or an abnormal state using a Deep Learning model.

A method for monitoring the health of propellers in an aircraft is provided. The method includes receiving pressure waves generated by at least one rotating propeller and analysing data corresponding to the received pressure waves to detect tonal noise which is within a selected frequency range. If tonal noise at harmonics of the propeller rotational frequency within the selected frequency range is detected within the selected frequency range, it is established that the health of at least one propeller may be impaired and an alert is created for inspection and maintenance to take place.

Apparatus for monitoring an axle of a wheelset assembly of a railway vehicle, the apparatus comprising a wireless sensor node fitted to a wheelset assembly, the wheelset assembly comprising an axle mounted between opposed wheels, each wheel being fitted to a respective opposite end of the axle, the wireless sensor node comprising a vibration energy harvester for converting mechanical energy from vibration in the wheelset assembly into electrical energy, a sensor for measuring a parameter, and a wireless transmitter for wirelessly transmitting the measured parameter or data associated therewith, and the apparatus further comprising a processor for processing the measured parameter to produce processed data, wherein the sensor is an accelerometer mounted to an end of the axle and the sensor and processor are arranged respectively to measure and process an axle percussion vibration frequency in the form of resonant vibration along the axle.

Apparatus for monitoring an axle of a wheelset assembly of a railway vehicle, the apparatus comprising a wireless sensor node fitted to a wheelset assembly, the wheelset assembly comprising an axle mounted between opposed wheels, each wheel being fitted to a respective opposite end of the axle, the wireless sensor node comprising a vibration energy harvester for converting mechanical energy from vibration in the wheelset assembly into electrical energy, a sensor for measuring a parameter, and a wireless transmitter for wirelessly transmitting the measured parameter or data associated therewith, and the apparatus further comprising a processor for processing the measured parameter to produce processed data, wherein the sensor is an accelerometer mounted to an end of the axle and the sensor and processor are arranged respectively to measure and process an axle percussion vibration frequency in the form of resonant vibration along the axle.

A soil condition estimation apparatus 1 includes a selection unit 2 that, by using a propagation time that vibrations take to propagate through a soil, selects vibrations measured from the soil, according the depth of the soil; an extraction unit 3 that extracts a feature of the selected vibrations; and an estimation unit 4 that estimates conditions of the soil by referencing soil estimation information in which the feature and conditions of the soil are associated with each other, using the feature.

A method for automatically detecting the free vibration response segment of the high-speed railway bridges after trains passing. First, pre-select the test response sequence to be decomposed based on the maximum of the time instants corresponding to the absolute maximums of the response vectors at various measuring point. Then, Extract the single-frequency modal response from the test response by the iterative variational mode decomposition and fit the envelope amplitude of the modal response by Hilbert transform. Finally, the vibration features at each time instants are marked as decay vibration or non-decay vibration. The longest structural response segment that meets the decay vibration features is determined as the detected free vibration response segment for modal identification. This invention can effectively detect the free vibration data segment without human participation, which is of great significance for the real-time accurate modal analysis of high-speed railway bridges.

A conversion section converts a change in signal information outputted from a vibration detector provided on a structural body from the change in the function of time into the change in the function of the distance between a moving object that moves on the structural body and the vibration detector. An attenuation characteristic calculation section calculates an attenuation characteristic of the structural body based on the signal information so converted as to represent the change in the function of the distance.

A machine tool is configured so that: a first frequency band comprising the main shaft characteristic vibration frequency and a second frequency band comprising the mechanical structure characteristic vibration frequency are set; thresholds are stored for each of the set frequency bands; vibration components are extracted for each of the frequency bands from the output of a vibration sensor; and when the vibration amplitude exceeds a threshold in either of the frequency bands, an alarm is sounded.

A machine tool is configured so that: a first frequency band comprising the main shaft characteristic vibration frequency and a second frequency band comprising the mechanical structure characteristic vibration frequency are set; thresholds are stored for each of the set frequency bands; vibration components are extracted for each of the frequency bands from the output of a vibration sensor; and when the vibration amplitude exceeds a threshold in either of the frequency bands, an alarm is sounded.

A method at a sensor apparatus affixed to a transportation asset, the method including detecting a trigger at the sensor apparatus; taking a threshold number of samples of a displacement-related value of the transportation asset over time; determining that a variance of the threshold number of samples exceeds a threshold; analyzing a frequency property based on the threshold number of samples; and based on the frequency property, determining whether the transportation asset is loaded or unloaded.