A tri-axial centrifuge apparatus for testing of petro-physical properties of a test sample includes a tri-axial sample holder located within an inner bore of a cell body. An axial pressure fluid supply line delivers an axial pressure fluid to apply an axial pressure on the test sample. A confining pressure fluid supply line delivers a confining pressure fluid to apply a biaxial confining pressure on the test sample. A test fluid holder contains test fluid and is static relative to the cell body. The axial pressure fluid, the confining pressure fluid, and the test fluid are contained in separate flow systems. A centrifuge has a window that is located on a portion of a path of the tri-axial sample holder. The tri-axial sample holder is loaded in the centrifuge and spinning with the centrifuge. An x-ray instrument is static and is aligned with the window of the centrifuge.

A fluid sensor including a sensing area configured to receive a fluid. The fluid sensor includes a transducer and a capacitive sensor. The transducer is configured to output an ultrasonic wave through the fluid. The capacitive sensor includes a capacitive plate configured to reflect the ultrasonic wave toward the transducer.

A predictive diagnostics system for monitoring mechanical seals. The system autonomously detects a loss of lubrication within a sliding seal interface of a mechanical seal, the system including a loss of lubrication failure mode logic module configured to monitor data sensed by one or more sensors and diagnose conditions relating to a loss of lubrication within the sliding seal interface, and a plurality of other failure mode logic modules configured to monitor data sensed by the one or more sensors and diagnose conditions relating to specific types of mechanical failures known to occur in mechanical seal systems, the loss of lubrication failure mode logic module configured to determine which of the plurality of other failure mode logic modules are activated during the diagnosis of conditions related to a loss of lubrication within the sliding seal interface.

A frequency sensor comprises a surface functionalized with a reactant sensitive to an analyte and a vibration detector coupled to the functional surface to detect a frequency of a fluid having the analyte and located on the functional surface during vibration thereof. The frequency sensor comprises a measurement circuitry coupled to the vibration detector to determine a frequency shift over time of the detected frequency, wherein the frequency shift corresponds to the presence of the analyte which has reacted with the reactant.

The disclosure relates generally to methods and systems for monitoring lubricant oil condition using a photoacoustic modelling. Conventional techniques in the art for checking the condition of the lubricant oil is laboratory based and thus time consuming, error prone and not efficient. The present disclosure discloses a photoacoustic simulation model which is developed utilizing a photonic model such as a Monte Carlo method-based optical simulation integrated with a finite element model such as a k-wave toolbox-based acoustic measurement. The photoacoustic simulation model of the present disclosure is used to obtain a photoacoustic signal of the lubricant oil sample and a set of statistical features are determined from the obtained photoacoustic signal. The determined set of statistical features are then used as a training data to develop a machine learning (ML) model which is used to classify a type of contamination of the test lubricating oil.

A method for determining multi-phase flow properties of a fluid is disclosed. The method includes measuring a first time for a first ultrasonic signal to be emitted from a first transducer into the fluid, reflected off an inner surface of the pipeline, and received back at the first transducer. Measuring a second time for the first ultrasonic signal to be emitted from the first transducer into the fluid and received at a second transducer. Calculating, using the first time and the second time, at least one of: a liquid to gas ratio, a fluid density, a gas holdup, a liquid holdup, and a fluid velocity of the fluid flowing through the pipeline.

A system and method for detection of coking in a fuel. The system including a fuel system for delivery of fuel, a fuel contamination sensor having a contamination detection sensor with input and output transducers immersed in the fuel, a controller in operable communication with the fuel contamination sensor, the controller configured to execute a method for detection of coking in fuel. The method including generating an excitation signal for the contamination detection sensor, receiving at a controller operably connected to the contamination detection sensor, a sensor output signal from the output transducer, comparing the sensor output signal with the excitation signal, diagnosing a condition of the fuel based on a the comparing, and indicating a condition of coking based on the diagnosing. The system also includes an enunciator to indicate the detection of coking in the fuel.

The present disclosure relates to vibration frequency sensors comprising a vibratable flow tube having an interior for receiving a fluid, a vibration detector coupled to the flow tube for detecting a frequency of the fluid received by the flow tube during vibration thereof; and measurement circuitry coupled to the vibration detector for determining a frequency shift over time of the detected frequency. At least a portion of a surface of the interior of the flow tube is functionalized with a reactant sensitive to the analyte, and the frequency shift corresponds to the presence of the analyte, the analyte having reacted with the reactant.

The disclosure relates to a method for determining and/or monitoring the breakdown voltage of a transformer oil, comprising the steps of a) performing an acoustic impedance measurement of the transformer oil, the impedance of a medium partially or entirely disposed in the transformer oil and capable of naturally vibrating and/or transmitting vibrations to the transformer oil is determined in at least one frequency band of defined frequency width; and b) calculating a resonator quality factor for the frequency band based on the determination performed in step a); and c) calculating an acoustic disbalance of the transformer oil based on the calculation performed in step b); and d) ascertaining the breakdown voltage of the transformer oil based on the calculation performed in step c).

Furthermore, the disclosure relates to a device (100, 200) for determining and/or monitoring the breakdown voltage of a transformer oil.

A fluid sensor including a sensing area configured to receive a fluid. The fluid sensor includes a transducer and a capacitive sensor. The transducer is configured to output an ultrasonic wave through the fluid. The capacitive sensor includes a capacitive plate configured to reflect the ultrasonic wave toward the transducer.