A derivation method includes: an acquisition step of acquiring time-series data including a physical quantity generated at a predetermined observation point in a structure as a response caused by a movement of a formation moving object formed with one or more moving objects on the structure; an environment information acquisition step of acquiring, as environment information, information on a structure length that is a length of the structure, a moving object length that is a length of the moving object, and an installation position of a contact portion of the moving object with the structure; a fundamental frequency derivation step of deriving a fundamental frequency of the time-series data based on the time-series data; a passing period derivation step of deriving a passing period during which the formation moving object passes through the structure based on the time-series data; and a number derivation step of deriving the number of the moving objects included in the formation moving object based on the environment information, the fundamental frequency, and the passing period.

A method of mounting a rail monitoring member/element at a mounting location of a rail for rail traffic, in particular on a railway track, is disclosed. The rail monitoring member includes a strain sensor member with a carrier on which a strain gauge, being an optical fiber with a fiber Bragg grating, is fixed. The method steps include: determination of the temperature of the rail and/or rail monitoring member at the mounting location; checking whether the determined temperature is within a predefined temperature interval; providing heating or cooling application to the rail and/or rail monitoring member at the mounting location, if the determined temperature is not within the predefined temperature interval; positioning and adhesively fixing of the carrier of the rail monitoring member at the mounting location. The method can be carried out easily and allows reliable and accurate monitoring of the rail using a strain sensor member.

The invention relates to a portable device for measuring vertical rail measurements under service to record and report excessive vertical rail movement to prevent a train from derailing. The device may be pivoting with a tilt sensor and light-weight. The device may include a microprocessor, sensors, and a display. The device may be installed on the rail. The device may sense an approaching train, automatically turn on the device, and measure the real-time vertical displacement and the maximum/minimum vertical movement of the rail while the train is operating over the rail at all speeds.

The invention relates to a portable device for measuring vertical rail measurements under service to record and report excessive vertical rail movement to prevent a train from derailing. The device may be pivoting with a tilt sensor and light-weight. The device may include a microprocessor, sensors, and a display. The device may be installed on the rail. The device may sense an approaching train, automatically turn on the device, and measure the real-time vertical displacement and the maximum/minimum vertical movement of the rail while the train is operating over the rail at all speeds.

A railway vehicle condition monitoring apparatus includes a detection device for detecting vehicle information represented by a wheel load or the like of a wheel included in a railway vehicle running on a railroad track, and a determination device including a classifier to which the vehicle information detected by the detection device is input and which outputs a vehicle condition such as the presence or absence of an abnormality of the railway vehicle. The classifier is generated by means of machine learning that uses training data of a railway vehicle of which the vehicle condition is known, the training data being the vehicle information and the vehicle condition which is known, the machine learning being performed so that when the vehicle information of the training data is input to the classifier, the classifier outputs the vehicle condition of the training data.

An impact load detector can include a rigid object affixed to a structure for which an impact is to be evaluated. The detector can include one or more sensors which are configured to acquire impact data corresponding to an effect the impact on the structure has on the rigid object. The detector can include a data processor that processes the impact data to evaluate for a presence of a set of faults.

The invention relates to a portable device for measuring vertical rail measurements under service to record and report excessive vertical rail movement to prevent a train from derailing. The device may be pivoting with a tilt sensor and light-weight. The device may include a microprocessor, sensors, and a display. The device may be installed on the rail. The device may sense an approaching train, automatically turn on the device, and measure the real-time vertical displacement and the maximum/minimum vertical movement of the rail while the train is operating over the rail at all speeds.

A railcar acoustic monitoring system including a first trackside frame assembly that includes a first outer frame assembly, a second outer frame assembly, and a first inner frame assembly. The first outer frame assembly including a first microphone assembly positioned on a first outer side of the first rail of the railroad track, the first microphone assembly oriented to receive acoustic signals associated with the passing train. The second outer frame assembly including a second microphone assembly positioned on a second outer side of a second rail of the railroad track, the second microphone assembly oriented to receive acoustic signals associated with the passing train. The first inner frame assembly including a first housing, a third microphone assembly oriented to receive acoustic signals emanating from the first rail, and a fourth microphone assembly oriented to receive acoustic signals associated with the passing train.

A railcar acoustic monitoring system including a first trackside frame assembly that includes a first outer frame assembly, a second outer frame assembly, and a first inner frame assembly. The first outer frame assembly including a first microphone assembly positioned on a first outer side of the first rail of the railroad track, the first microphone assembly oriented to receive acoustic signals associated with the passing train. The second outer frame assembly including a second microphone assembly positioned on a second outer side of a second rail of the railroad track, the second microphone assembly oriented to receive acoustic signals associated with the passing train. The first inner frame assembly including a first housing, a third microphone assembly oriented to receive acoustic signals emanating from the first rail, and a fourth microphone assembly oriented to receive acoustic signals associated with the passing train.

A railyard switch run through (SRT) detection system includes at least one sensor, a detection node in communication with the at least one sensor, where the detection node includes a microcontroller and a power source, and an alert station in communication with the detection node. The alert station includes an indicator and a power source, where the detection node, based on data from the at least one sensor, is configured to detect an SRT event and activate the indicator of the alert station.