A monitoring device for detecting a diagnostic state of an industrial machine on the basis of vibrations associated with the industrial machine, includes at least one measurement transducer for detecting at least one first signal characterizing the vibration of the industrial machine in a time period and for detecting at least one second signal characterizing the vibration of the industrial machine in the same time period, wherein the at least one measurement transducer has at least one signal processor for evaluating the at least first signal as a first characteristic value and for evaluating the at least second signal as a second characteristic value and wherein the at least one first characteristic value and the at least one second characteristic value form a characteristic value tuple, further having a storage unit, in which different diagnostic states describing the state of the industrial machine are saved, wherein the diagnostic states are determined as a function of the characteristic value tuple, and a predefined scalar range is saved with predetermined different fixed scalar values, which define respectively an existing limit potential, wherein a respective limit potential characterizes a change in the diagnostic state, and wherein between adjacent limit potentials a diagnostic partition is formed and wherein different scalar values from the scalar range are assigned to the different diagnostic partitions and wherein different respective diagnostic partitions represent different diagnostic states of the industrial machine, and wherein the monitoring device has at least one interpolation function for mapping the characteristic value tuple on a common, unique, time-dependent scalar value in the predefined scalar range, so that by way of the time-dependent scalar value a time monitoring of the diagnostic state of the industrial machine is achieved.

A microphone-speaker device includes a speaker, a microphone configured to capture sound and output an audio data signal and a housing configured to contain the microphone and the speaker. The device also includes an electronic circuit having audio electronics coupled to the speaker, an Ethernet interface configured to connect the electronic circuit for communication with a security system through an Ethernet connection, a power extractor for extracting power from the Ethernet connection for powering the electronic circuit and the microphone, and processing electronics configured to process the audio data signal from the microphone.

Aspects of the disclosure include systems, methods, and program products for evaluating the condition of a component using an acoustic sensor embedded within a lighting device. A system according to the present disclosure can include a first lighting device configured to illuminate an area of an industrial plant; a first acoustic sensor embedded within the first lighting device and configured to detect an acoustic signature of a component in the industrial plant; a computing device communicatively connected to the first acoustic sensor and configured to evaluate a condition of the component in the industrial plant based on the acoustic signature.

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.

A racking protection device that includes a housing and vibration monitor. The vibration monitor is arranged to record the vibration transmitting through a racking component. The housing includes an alert for alerting a user when the racking requires inspection for damage to impacts. The vibration monitor records the frequency and time of each impact. The vibration monitor includes a memory that counts and records the number of minor impacts. The vibration monitor determines a minor impact when the peak frequency is between a minimum and maximum pre-set level for a predetermined time period. When a predeteiiiiined number of minor impacts is exceeded, the alert is arranged to alert the user to inspect the racking for damage. When the frequency exceeds the maximum pre-set level for a predetermined time period the vibration monitor determines that a severe impact has occurred and the alert is arranged to alert the user to inspect the racking for damage.

A method of detecting sand inflow into a wellbore is disclosed. The method can include obtaining a sample data set, detecting a broadband signal within the sample data set, comparing the broadband signal with a signal reference, determining that the broadband signal meets or exceeds the signal reference, and determining the presence of sand inflow into the wellbore based on determining that the broadband signal meets or exceeds the signal reference. The sample data set can be a sample of an acoustic signal originating within a wellbore including a fluid, and the broadband signal at least includes a portion of the sample data set at frequencies above 0.5 kHz.

A method of detecting sand inflow into a wellbore is disclosed. The method can include obtaining a sample data set, detecting a broadband signal within the sample data set, comparing the broadband signal with a signal reference, determining that the broadband signal meets or exceeds the signal reference, and determining the presence of sand inflow into the wellbore based on determining that the broadband signal meets or exceeds the signal reference. The sample data set can be a sample of an acoustic signal originating within a wellbore including a fluid, and the broadband signal at least includes a portion of the sample data set at frequencies above 0.5 kHz.

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.

In an electronic nose apparatus and method based on spectrum analysis, 1) a gaseous sample is dissolved into a solvent in an impinger, and the sample dissolved into the solvent is introduced into an RF resonator, and 2) RF having various absorption spectra according to materials are generated in the RF resonator, and the type of gas is determined through spectrum analysis so that an electronic nose is implemented. In this way, it is possible to overcome the resolution of gas chromatography (GC) and a sensor array and a limited number of multi-channel sensors (the number of channels).

In an electronic nose apparatus and method based on spectrum analysis, 1) a gaseous sample is dissolved into a solvent in an impinger, and the sample dissolved into the solvent is introduced into an RF resonator, and 2) RF having various absorption spectra according to materials are generated in the RF resonator, and the type of gas is determined through spectrum analysis so that an electronic nose is implemented. In this way, it is possible to overcome the resolution of gas chromatography (GC) and a sensor array and a limited number of multi-channel sensors (the number of channels).