According to one implementation, a damage detection system includes: a physical quantity detection unit, a flight condition changing part and a damage detection part. The physical quantity detection unit detects a physical quantity of a structural object composing an aircraft during a flight of the aircraft. The flight condition changing part changes at least one flight condition of the aircraft to at least one specific flight condition when the physical quantity of the structural object has been detected by the physical quantity detection unit. The damage detection part determines whether a damage arose in the structural object, based on a physical quantity which has been detected, from the structural object of the aircraft flying with the at least one specific flight condition, by the physical quantity detection unit.

According to one implementation, a damage detection system includes: a physical quantity detection unit, a flight condition changing part and a damage detection part. The physical quantity detection unit detects a physical quantity of a structural object composing an aircraft during a flight of the aircraft. The flight condition changing part changes at least one flight condition of the aircraft to at least one specific flight condition when the physical quantity of the structural object has been detected by the physical quantity detection unit. The damage detection part determines whether a damage arose in the structural object, based on a physical quantity which has been detected, from the structural object of the aircraft flying with the at least one specific flight condition, by the physical quantity detection unit.

An object is to provide an optical fiber path search method, an optical fiber path search system, a signal processor, and a program that can be operated free of the effects of walls, supporting members, and the like so that only a signal generated by an acoustic wave propagating through the air can be extracted. An optical fiber path search system according to the present invention utilizes DAS and includes: a vibration source 304 configured to provide an acoustic wave to a predetermined region; a light reflection measurement device 305 configured to be connected to one end of an optical fiber 302 and configured to measure vibration of a change in an optical path length from the other end of the optical fiber 302 to a point in the optical fiber 302 due to the acoustic wave provided by the vibration source 304; and a signal processor 313 configured to extract a signal component in a high frequency region higher than a preset cutoff frequency from a signal of the vibration of the change in the optical path length measured by the light reflection measurement device 305 and calculate a distance between the vibration source 304 and the point in the optical fiber 302 using the signal component.

An object is to provide an optical fiber path search method, an optical fiber path search system, a signal processor, and a program that can be operated free of the effects of walls, supporting members, and the like so that only a signal generated by an acoustic wave propagating through the air can be extracted. An optical fiber path search system according to the present invention utilizes DAS and includes: a vibration source 304 configured to provide an acoustic wave to a predetermined region; a light reflection measurement device 305 configured to be connected to one end of an optical fiber 302 and configured to measure vibration of a change in an optical path length from the other end of the optical fiber 302 to a point in the optical fiber 302 due to the acoustic wave provided by the vibration source 304; and a signal processor 313 configured to extract a signal component in a high frequency region higher than a preset cutoff frequency from a signal of the vibration of the change in the optical path length measured by the light reflection measurement device 305 and calculate a distance between the vibration source 304 and the point in the optical fiber 302 using the signal component.

A flow control device includes a valve body having an inlet, an outlet, and a flow path connecting the inlet and the outlet. A flow vane is coupled to the valve body and disposed in the flow path to divide a flow of fluid through the valve body. The flow vane has a first surface, a second surface, and a corrugation formed on at least one of the first and second surfaces. A control element is disposed in the flow path and movable in the valve body between an open position and a closed position.

The invention relates to a method for determining the direction and the amplitude of a force applied to a system (IO) comprising a stationary portion (13) and a mobile portion (12) which can deform when exposed to said force. Mechanical deformations applied to the mobile portion when exposed to said force are measured by measuring a distance between the stationary portion and the mobile portion in the direction of application of the force, and the distance measurements are processed in order to determine the amplitude and the direction of the force.

The invention relates to a method for determining the direction and the amplitude of a force applied to a system (IO) comprising a stationary portion (13) and a mobile portion (12) which can deform when exposed to said force. Mechanical deformations applied to the mobile portion when exposed to said force are measured by measuring a distance between the stationary portion and the mobile portion in the direction of application of the force, and the distance measurements are processed in order to determine the amplitude and the direction of the force.

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 computer-implemented method for identifying a defect of a passing train via acoustic monitoring. The method may include the steps of: receiving data from the passing train within a zone of observance using an array of microphone assemblies of an acoustic monitoring system that are positioned around a section of the track. The method may further include processing the data to determine pressure levels received by each of the array of microphone assemblies. The method may further include calculating a theoretical pressure level for a plurality of points within a three-dimensional space for each microphone of the array of microphone assemblies. The method may further include determining one or more locations within the three-dimensional coordinate space that represents an origin of a noise source indicating the defect. And the method may further include determining a type of defect based on the acoustic signatures.