A system for early detection of onset of oscillatory instabilities in practical devices is described. The system consists of a measuring device (102), an instability detection unit (104) and a control unit (106). The measuring device (102) is configured to generate signals corresponding to the dynamics happening inside the practical device. The instability detection unit (104) along with an amplitude estimation unit (130) is configured to diagnose the stability of the practical device from the signals that are generated by the measuring device (102). Further, the control unit (106) is configured to control various operating parameters in the practical device based on the information obtained from the instability detection unit (104).

Provided are an acoustic sensor and a home appliance system comprising the same. The acoustic sensor comprises a communication unit, a microphone to collect an acoustic signal, a memory to store a failure acoustic signal of a home appliance, and a processor, wherein in response to the acoustic signal, collected by the microphone, corresponding to the failure acoustic signal of the home appliance, the processor transmits the collected acoustic signal, or data corresponding to the collected acoustic signal, to an external server or a terminal. Accordingly, failure of the home appliance may be easily diagnosed.

Provided herein is technology relating to measuring weather data and particularly, but not exclusively, to apparatuses, methods, and systems for sensing hydrometeors (e.g., rain) and measuring hydrometeor characteristics (e.g., volume, rate, size distribution, etc.).

It is provided a method for classifying vibrations detected in a structure of a building. The method is performed in a vibration classifier and comprising the steps of: determining a measurement period of a vibration signal; splitting the measurement period in a plurality of sequential sub-periods; calculating, for each one of the sub-periods, a variation indicator of at least one component of the vibration signal; and classifying a source of the vibration signal based on the variation indicators.

A sticker for attaching to at least one part of a machine comprising at least one rotating component to be monitored, the sticker providing a vibration status indicator indicating when a vibration of the at least one rotating component exceeds a predetermined level. The sticker is fixed to a machine part externally visible and not directly mounted onto a bearing part.

A sticker for attaching to at least one part of a machine comprising at least one rotating component to be monitored, the sticker providing a vibration status indicator indicating when a vibration of the at least one rotating component exceeds a predetermined level. The sticker is fixed to a machine part externally visible and not directly mounted onto a bearing part.

A system for monitoring and identifying states of a semiconductor device, the system including at least one acoustic sensor for sensing acoustic emission emitted by at least one semiconductor device operating at a voltage of less than or equal to 220 V, the at least one acoustic sensor outputting at least one acoustic emission signal and a signal processing unit for receiving the at least one acoustic emission signal from the at least one acoustic sensor and for analyzing the at least one acoustic emission signal, the signal processing unit providing an output based on the analyzing, the output being indicative at least of whether the at least one semiconductor device is in an abnormal operating state with respect to a normal operating state of the semiconductor device.

A method for detecting a structural anomaly in a pipeline supply network is disclosed where the pipeline supply network is configured to supply fluid to multiple receiving locations. The method comprises receiving acoustic signal data from a selected location in the pipeline supply network and generating a first time window of acoustic signal data based on the acoustic signal data. The method then includes benchmarking the first time window of acoustic signal data with respect to historical background acoustic signal data characterising the pipeline supply network to generate a corresponding background benchmarked first time window of acoustic signal data and then determining an anomaly measure for the background benchmarked first time window of acoustic signal data where the anomaly measure indicates a presence of the structural anomaly.

In order to provide a protection monitoring system that comprises a warning function to which it is not easy to become habituated, and that can call attention at the time when abnormal vibration is sensed even without a cable undergoing failure, the protection monitoring system according to an embodiment of the present invention comprises an optical fiber provided along a long infrastructure element installed in water or on a seabed, an interrogator for acquiring environment information at positions along the long infrastructure element using the optical fiber, an abnormal event detection means for detecting an abnormal event around the positions when the environment information acquired at the positions satisfies an abnormality pattern provided in advance, and a notification means for issuing a notice to a ship positioned in a prescribed range from a position in which the abnormal event is detected.

A driving control apparatus, a device, an optical module, and a driving control method will be provided, the driving control apparatus including: an acquiring unit to acquire a detection signal depending on a detection result of sensing a position of a driving target object; a driving control unit to generate a driving signal to move the driving target object to a target position based on the detection signal; an oscillation detecting unit to detect oscillation in a signal at a predetermined object point on a signal path from the detection signal to the driving signal; and an oscillation suppressing unit to suppress oscillation of the signal path according to detection of the oscillation.