A system and method are provided for monitoring a piping network. The method includes obtaining data comprising temperature, displacement, and vibration measurements from a plurality of sensor assemblies. The sensor assemblies are selectively installed at a plurality of locations in the piping network, and the piping network is subjected to at least one multi-phase flow effect during its operation. The method also includes analyzing the data using at least one model to: predict pipe life, detect an operational or pipe damage event, and/or trigger preventative maintenance.

A test fixture for securing a test article is disclosed. The test fixture comprises a frame, an upper grip, a lower grip, a tensioner assembly, and a cooling assembly. The frame defines an upper portion and a lower portion, where the lower portion of the frame is configured to be 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 upper grip is configured to secure an upper portion of the test article along an upper interface, and the lower grip is configured to secure a lower portion of the test article along a lower interface. The tensioner assembly is located at the upper portion of the test fixture. The cooling assembly transports a cooling medium across at least one of the upper interface and the lower interface.

Noise and vibration sensing includes generating with an acceleration sensor a sense signal representative of the acceleration that acts on the acceleration sensor, and processing the sense signal to provide a processed sense signal having an adjustable signal bandwidth and an adjustable signal dynamic. The signal bandwidth extends between a lowest frequency and a highest frequency of the sense signal, and the signal dynamic is the ratio between a maximum amplitude of the sense signal and an output noise floor generated by the acceleration sensor. Noise and vibration sensing further includes adjusting the signal bandwidth and the signal dynamic in accordance with a control signal so that the signal bandwidth increases when the signal dynamic decreases and vice versa.

Noise and vibration sensing includes generating with an acceleration sensor a sense signal representative of the acceleration that acts on the acceleration sensor, and processing the sense signal to provide a processed sense signal having an adjustable signal bandwidth and an adjustable signal dynamic. The signal bandwidth extends between a lowest frequency and a highest frequency of the sense signal, and the signal dynamic is the ratio between a maximum amplitude of the sense signal and an output noise floor generated by the acceleration sensor. Noise and vibration sensing further includes adjusting the signal bandwidth and the signal dynamic in accordance with a control signal so that the signal bandwidth increases when the signal dynamic decreases and vice versa.

A diagnosis apparatus includes: a sensor that detects diagnosis target information generated by a diagnosis target device; a threshold setting unit that sets a threshold for the diagnosis target information; and a diagnosis unit that diagnoses the diagnosis target device based on the diagnosis target information detected by the sensor and the threshold, in which the threshold setting unit sets the threshold based on the diagnosis target information in a predetermined period before a diagnosis time point, and the diagnosis unit performs diagnosis based on a current time point threshold set at the diagnosis time point and at least one past threshold set in the past.

A diagnosis apparatus includes: a sensor that detects diagnosis target information generated by a diagnosis target device; a threshold setting unit that sets a threshold for the diagnosis target information; and a diagnosis unit that diagnoses the diagnosis target device based on the diagnosis target information detected by the sensor and the threshold, in which the threshold setting unit sets the threshold based on the diagnosis target information in a predetermined period before a diagnosis time point, and the diagnosis unit performs diagnosis based on a current time point threshold set at the diagnosis time point and at least one past threshold set in the past.

A blasting device and a method thereof for measuring blasting vibration are proposed. The device includes a blasting signal recognition unit configured to recognize a transmission point of time of a blasting start signal and a transmission point of time of a blasting end signal of a blaster, a vibration measurement data acquisition unit configured to acquire vibration measurement data from a vibration measurement sensor connected to the blasting device when blasting work is started according to the recognized blasting start signal, and a blasting vibration information generation unit configured to generate blasting vibration information on the basis of the acquired vibration measurement data and blasting information pre-stored in the blasting device when the blasting work is ended according to the recognized blasting end signal.

Object allocation methods and apparatuses are provided. A method may include starting a playback of a predetermined audio file according to a received allocation start command; determining allocation time intervals corresponding to the predetermined audio file, and a number of allocations corresponding to each allocation time interval, wherein the number of allocations is related to a predetermined acoustic feature parameter of the predetermined audio file in the respective allocation time interval; and obtaining and allocating the number of allocations of objects to allocable users corresponding to the respective allocation time interval. A process of allocation of objects can be optimized using the technical solutions of the present disclosure.

A method of monitoring the mechanical condition of a machine in which statistically significant measurements on a characteristic signal are made over a period of time which can include interruptions and variations in the operation of the machine giving rise to uncharacteristic signals and the processing of the signal during the statistically significant measurement automatically excludes those parts of the signal associated with interruptions and variations in the operation of the machine. The invention also includes apparatus for carrying out the above method including a preamplifier, adapted to provide output to a further amplifier, adapted to provided output to dynamic enveloping circuitry, adapted to provide an output to an analogue to digital converter, adapted to provide an output to a digital micro-electronic device.

A method of monitoring the mechanical condition of a machine in which statistically significant measurements on a characteristic signal are made over a period of time which can include interruptions and variations in the operation of the machine giving rise to uncharacteristic signals and the processing of the signal during the statistically significant measurement automatically excludes those parts of the signal associated with interruptions and variations in the operation of the machine. The invention also includes apparatus for carrying out the above method including a preamplifier, adapted to provide output to a further amplifier, adapted to provided output to dynamic enveloping circuitry, adapted to provide an output to an analogue to digital converter, adapted to provide an output to a digital micro-electronic device.