The present invention discloses a method and system for detecting the fastening state of a fastening structure which fixes structural elements. At least a first vibration sensor is mounted on a first structural element for collecting vibration data of the first structural element. At least a second vibration sensor is mounted on a second structural element or on the fastening structure for collecting vibration data of the second structural element or the fastening structure. The fastening state of the fastening structure is determined using the vibration data collected. The method and system enable detection of the fastening state of a fastening structure with low-power consumption and low cost.

A vibration sensor assembly having a rigid surface and a transducer integrated with the rigid surface. The transducer measures structure-borne sound waves that cause vibration motion of the rigid surface. The rigid surface may be glass, metal or plastic and may be part of an interior part or panel, or an exterior panel, of a vehicle.

A vibration sensor assembly having a rigid surface and a transducer integrated with the rigid surface. The transducer measures structure-borne sound waves that cause vibration motion of the rigid surface. The rigid surface may be glass, metal or plastic and may be part of an interior part or panel, or an exterior panel, of a vehicle.

Method and apparatus for detecting vibrational and/or acoustic transfers in a mechanical system A method and apparatus for detecting vibro-acoustic transfers in a mechanical system are provided. The method comprises: while operating the mechanical system, acquiring, at each of multiple input points, an input signal indicative of a mechanical load acting on the input point, and acquiring, at a response point, a response signal indicative of a mechanical response; training a neural network device using the input signals acquired at the input points and using the response signal acquired at the response point; and, for each of the input points: providing only the input signal acquired at the respective input point to the trained neural network device and obtaining, from the neural network device, a contribution signal indicative of a predicted contribution of the respective input signal to the response signal. Vibro-acoustic transfers may be detected solely based on operational data, thereby reducing time and a cost for performing a transfer analysis.

Method and apparatus for detecting vibrational and/or acoustic transfers in a mechanical system A method and apparatus for detecting vibro-acoustic transfers in a mechanical system are provided. The method comprises: while operating the mechanical system, acquiring, at each of multiple input points, an input signal indicative of a mechanical load acting on the input point, and acquiring, at a response point, a response signal indicative of a mechanical response; training a neural network device using the input signals acquired at the input points and using the response signal acquired at the response point; and, for each of the input points: providing only the input signal acquired at the respective input point to the trained neural network device and obtaining, from the neural network device, a contribution signal indicative of a predicted contribution of the respective input signal to the response signal. Vibro-acoustic transfers may be detected solely based on operational data, thereby reducing time and a cost for performing a transfer analysis.

A test fixture for securing a test article is disclosed. The test fixture includes a frame, an upper grip, at least one heat shield, a cooling assembly, and insulation. The frame defines an upper portion and a lower portion. The lower portion of the frame is releasably mounted to a vibration device. The upper grip is connected to the upper portion of the frame and the lower grip is connected to the lower portion of the frame. The heat shield is positioned to insulate at least one of the upper grip and the lower grip. The upper grip is configured to secure an upper portion of the test article along an upper interface. The lower grip is configured to secure a lower portion of the test article along a lower interface. The cooling assembly transports a cooling medium across at least one of the upper interface and the lower interface.

A test fixture for securing a test article is disclosed. The test fixture includes a frame, an upper grip, at least one heat shield, a cooling assembly, and insulation. The frame defines an upper portion and a lower portion. The lower portion of the frame is releasably mounted to a vibration device. The upper grip is connected to the upper portion of the frame and the lower grip is connected to the lower portion of the frame. The heat shield is positioned to insulate at least one of the upper grip and the lower grip. The upper grip is configured to secure an upper portion of the test article along an upper interface. The lower grip is configured to secure a lower portion of the test article along a lower interface. The cooling assembly transports a cooling medium across at least one of the upper interface and the lower interface.

The invention relates to a method for monitoring the physical state of a longitudinal element (IO) of a railway-type rail, the method having a step of detecting mechanical waves moving along the longitudinal element (IO), in particular due to the passing of a train, by means of an array of mechanical wave sensors placed along and in contact with the longitudinal element, the array having at least one first pair (A) of sensors each positioned at one end of a first portion (IOa) of the longitudinal element (IO), and a step of processing the signals emitted by the sensors in the array of sensors, the processing step having the determination of at least one first interfered signal determined from signals provided by the sensors in the first pair (A) of sensors over a first predetermined period of time.

A method for detecting blowout precursors in at least one gas turbine combustor comprising: receiving combustion dynamics acoustic data measured by an acoustic measuring device associated with the combustor in real time; performing wavelet analysis on the acoustic data using simplified Mexican Hat wavelet transform analysis; and determining the existence of a blowout precursor based at least in part on the wavelet analysis. Provided also is a system and a non-transitory computer readable medium configured to perform the method.

A method for detecting blowout precursors in at least one gas turbine combustor comprising: receiving combustion dynamics acoustic data measured by an acoustic measuring device associated with the combustor in real time; performing wavelet analysis on the acoustic data using simplified Mexican Hat wavelet transform analysis; and determining the existence of a blowout precursor based at least in part on the wavelet analysis. Provided also is a system and a non-transitory computer readable medium configured to perform the method.