Techniques are disclosed to use existing vehicle speakers alone or in conjunction with other sensors (e.g. SRS sensors and/or microphones) that may already be implemented as part of the vehicle to identify acoustic signatures. Suitable low-cost and widely available hardware components (e.g., relays) may be used to modify the vehicle's existing speakers for a bi-directional mode of operation. Moreover, the vehicle's existing of audio amplifiers may be used to amplify signals collected by the speakers when operating in reverse, and process these collected signals to determine vehicle state information.

The first aspect of the invention is related to a new method for automatically detecting physical modes within the data resulting from a modal analysis estimation algorithm (e.g. LSCE, PolyMax or other). The automatic detection method of the invention is based on a non-hierarchical clustering method wherein the number of clusters is automatically optimized, further making use of a metric for spuriousness within each cluster. According to the second aspect of the invention, the method for automatically detecting modes is used in a method removing harmonics from a signal.

A method of detecting a roadway shoulder in an at least partially autonomous vehicle, during a minimum risk maneuver, comprising sensing a vibration within a vehicle, identifying a frequency of the vibration, and determining whether the vehicle is in contact with rumble strips in response to the identified frequency, when at least one or more sensors in a typical known sensor system is compromised.

A method for diagnosing a problematic noise source based on big data information include: measuring noise data of a powertrain of a vehicle by using a real-time noise measurement device, and converting the noise data into a signal that can be input to a portable device for diagnosing the problematic noise source through an interface device;

analyzing a noise through a deep learning algorithm of an artificial intelligence on a converted signal, and diagnosing the problematic noise source as a cause of the noise; and displaying the cause of the noise by outputting a diagnostic result as the problematic noise source, and transmitting the diagnostic result to the portable device.

A sensor device may transform sensor data into spectrum data to be processed by a computer device. In an example, the sensor device may detect acceleration forces caused by a vibration. The sensor device may transform the acceleration forces into sensor data. The sensor device may transform the sensor data into spectrum data. The sensor device may execute a spectrum analysis on the spectrum data. The sensor device may generate a packet that includes a result of the spectrum analysis as a payload of the packet. A format of the packet may be based on a protocol of a communication link between the sensor device and the computer device. The sensor device may send the packet to the computer device through the communication link.

Provided are micromechanical resonators and resonator systems including the micromechanical resonators. The micromechanical resonators may each include a supporting beam including a fixed end fixed on a supporting member and a loose end configured to vibrate, and a lumped mass arranged on the loose end, wherein the loose end has a width greater than a width of the fixed end, and a width of the lumped mass is greater than that the width of the fixed end.

A system for measuring total operating deflection shapes of a structure includes one or more imagers, each including two cameras spaced apart from one another and each oriented and positioned to have corresponding fields of view of a different corresponding section of the structure, with the corresponding sections that may include overlap area of the structure within each of the different sections of the structure. Each of the cameras generates a corresponding data stream, which is communicated to a controller, which is configured to measure the response of the structure to an excitation, such as a vibration or an impulse. The system is configured to convert time-domain data from each of the data streams to the frequency-domain data using a Fourier Transform algorithm and stitching the shapes to obtain the total operating deflection shapes of the structure by scaling and stitching together the frequency-domain data.

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.

A vibration-sensor-integrated vibration exciter 4 has a chassis 21, an excitation unit 22, a magnet 23, a yoke 24, a vibration sensor 25, a fixed plate 26, a moving plate 27, coil springs 28a to 28d, a retaining plate 29, and a crisscross plate 30. Shafts 31a to 31d are fixed to the fixed plate 26. The excitation unit 22 is fixed to the crisscross plate 30. Four vibration-proof rubber members 32a to 32d are installed to the crisscross plate 30 at 90-degree pitches with same radius centering on the excitation axis of the fixed excitation unit 22. The crisscross plate 30 is installed to the retaining plate 29 through the vibration-proof rubber members 32a to 32d. A vibration applied to the chassis 21 is absorbed by the vibration-proof rubber members 32a to 32d, to prevent the yoke 24 from being dislocated in lateral direction due to the vibration.

A vibration-sensor-integrated vibration exciter 4 has a chassis 21, an excitation unit 22, a magnet 23, a yoke 24, a vibration sensor 25, a fixed plate 26, a moving plate 27, coil springs 28a to 28d, a retaining plate 29, and a crisscross plate 30. Shafts 31a to 31d are fixed to the fixed plate 26. The excitation unit 22 is fixed to the crisscross plate 30. Four vibration-proof rubber members 32a to 32d are installed to the crisscross plate 30 at 90-degree pitches with same radius centering on the excitation axis of the fixed excitation unit 22. The crisscross plate 30 is installed to the retaining plate 29 through the vibration-proof rubber members 32a to 32d. A vibration applied to the chassis 21 is absorbed by the vibration-proof rubber members 32a to 32d, to prevent the yoke 24 from being dislocated in lateral direction due to the vibration.