A system and a method for diagnosing a problem with a motor vehicle using sound. Ambient noise information for the motor vehicle is determined. Current sound information is received, and whether there is a variation in sound between the current sound information and the ambient noise information is determined. The ambient noise information is subtracted from the current sound information if the variation has been identified, to identify a sound anomaly. A sound anomaly signal is extracted and compared with predetermined anomaly signal information stored in a database. The predetermined anomaly signal information is associated with diagnostic information.

The present invention provides a monitoring method for a plate billet crank flying shear process, including: acquiring a control signal of a control system of a crank flying shear device, and determining a cutting stage of the crank flying shear process according to the control signal; obtaining an actual cutting edge speed curve in the cutting stage, and further dividing the cutting stage into multiple sub-processes according to the actual cutting edge speed curve; obtaining actual data of a parameter related to the crank flying shear process, and for one or more of the multiple sub-processes, separately comparing the actual data of the parameter with typical data of the parameter, in order to estimate an abnormality risk.

A damage diagnosis device is provided with: a detection unit for detecting that, immediately after a vehicle crossing a bridge has exited from the bridge, another vehicle is not crossing the bridge; a determination unit for determining whether the weight of the vehicle satisfies a criterion; and a diagnosis unit that, when the detection unit has detected that no other vehicle is crossing the bridge and the determination unit has determined that the weight of the vehicle satisfies the criterion, diagnoses damage to the bridge on the basis of information representing free vibration generated in the bridge due to the crossing of the vehicle, thereby improving the precision of diagnosis when damage to a bridge is diagnosed on the basis of information representing free vibration generated in the bridge due to the crossing of a vehicle.

A sampling device receives, from a transducer computing device located within a predefined proximity to an equipment in an operating environment, a vibration sample from the operating environment and increments a retrain counter. In response to determining that the incremented retrain counter does not meet or exceed a retrain threshold, the sampling device predicts, using a model, an anomalous or non-anomalous designation for the vibration sample and a cluster assignment, to a particular cluster of a set of clusters, for the vibration sample when the model predicts the non-anomalous designation for the vibration sample. The sampling device receives a subsequent vibration sample and further increments the retrain counter. In response to determining that the further incremented retrain counter exceeds a retrain threshold, the sampling device receives a subsequent set of vibration samples and retrains, using the subsequent vibration sample and the subsequent set of vibration samples, the model.

Methods and systems for in-situ determination of system response functions. One example method includes coupling a controlled blocked force exciter to a calibration receiver structure. The method also includes operating the controlled blocked force exciter under controlled operation conditions to induce vibration in the calibration receiver structure and measuring response data for the calibration receiver structure. The method further includes determining blocked forces based on the response data for the calibration receiver structure. The method also includes coupling the controlled blocked force exciter to a target receiver structure. The method further includes operating the controlled blocked force exciter under the controlled operation conditions to induce vibration in the target receiver structure and measuring response data for the target receiver structure. The method also includes determining system response functions by relating the response data for the target receiver structure to the blocked forces.

To improve the identification of system parameters of a test setup of a test bench there is provision for the test setup to be dynamically excited on the test bench by virtue of a dynamic input signal being applied to the test setup. Measured values of the input signal of the test setup and of a resultant output signal of the test setup are recorded. A frequency response of the dynamic response of the test setup between the output signal and the input signal is determined using a nonparametric identification method. A model structure of a parametric model that maps the input signal onto the output signal is derived from the frequency response. The model structure and a parametric identification method are used to determine at least one system parameter of the test setup, and the at least one identified system parameter is used to perform the test run.

Disclosed is a hydrocyclone monitoring system. The hydrocyclone monitoring system comprises a hydrocyclone comprising a separation chamber having an inlet for feeding an input mixture into the separation chamber and first and second outlets for ejecting flows of 5 respective first and second components of the mixture from the separation chamber. The hydrocyclone monitoring system further comprises a conduit and a sensor assembly. The conduit is connected to the first outlet and defines a channel for conducting the flow of the first component ejected from the separation chamber. The sensor assembly is configured to detect characteristics of the flow of the first component in the channel. The hydrocyclone 10 monitoring system further comprises a processing system configured to receive from the sensor assembly measurement data indicative of the characteristics of the flow of the first component, and to determine a mode of operation of the hydrocyclone based on the measurement data. Also disclosed is a method of monitoring a hydrocyclone.

There is provided a method of specifying a location of occurrence of an abnormal sound, the method including: storing mapping data in a storage device, the mapping data prescribing mapping that receives, as inputs, a sound variable that matches a sound detected in a vehicle and a state variable of a drive-system device of the vehicle synchronized with the sound, and that outputs a location as a main cause of the sound; executing a sound signal acquisition process of acquiring a sound signal output from a microphone that detects a sound; a state variable acquisition process of acquiring the state variable of the drive-system device; and a specifying process of specifying the location of occurrence of the sound corresponding to the sound signal using the sound variable and the state variable as inputs to the mapping. There are also provided a non-transitory storage medium and an in-vehicle device.

A failure diagnosis system includes a sensor that is provided in a diagnosis target device and detects diagnosis target information of the diagnosis target device, an abnormality determination unit that determines whether or not an abnormality occurs in the diagnosis target device based on the diagnosis target information detected by the sensor, a storage unit that stores a site of the diagnosis target device where the abnormality determination is possible and a sensor installation location where a sensor needs to be installed for the abnormality determination of the site, a designation reception unit that receives designation of a site where the abnormality determination is performed, and a presentation unit that executes predetermined presentation processing. The presentation processing by the presentation unit includes processing of presenting the sensor installation location where the sensor needs to be installed to perform the abnormality determination of the designated site.

A system including a module for collecting vibration signals, a module for filtering the signals, a module for verifying whether the signals preserved by the filtering module correspond to signals representative of a set of flight conditions of the aircraft that are listed in a reference database, a module for identifying sources of vibration, a module for requesting a maneuver to be carried out by a pilot depending on the identified sources of vibration, a module for deciding, using a predefined decision tree, whether the preceding modules should be implemented again, and a module for transmitting a vibration report to a user device. The system allows assistance to be given, to the pilot, with the generation of a vibration report, and assistance to be given with maintenance of the aircraft.