A method for automated cleaning of a filter basket in a bioreactor includes determining permeability of the filter basket. A control unit controls a suction unit for suctioning a residual liquid from the liquid tank, a liquid metering unit for dispensing a liquid having a predetermined liquid volume into the filter basket controls the suction unit to empty the liquid tank by suctioning a filtered liquid volume, measures the volume of the suctioned liquid volume, and sending a first measurement signal to the control unit. The control unit determines a permeability quotient from the volume of the extracted filtered liquid volume to the volume of the dispensed predetermined liquid volume and compares the permeability quotient with a permeability threshold. The control unit then controls a cleaning unit to perform a cleaning process of the filter basket if the permeability quotient is below the permeability threshold.

A control system for monitoring a filter in a subsea control module (SCM) of an underwater hydrocarbon well is presented. The control system includes an upstream pressure transducer disposed upstream of a filter of the SCM and configured to sense an upstream pressure. The control system further includes a downstream pressure transducer disposed downstream of the filter and configured to sense a downstream pressure. Furthermore, the control system includes a subsea electronics module (SEM) coupled to the upstream pressure transducer and the downstream pressure transducer. The SEM is configured to determine average pressure differential values at different instances based on the upstream pressure and the downstream pressure. Moreover, the control system also includes a master control station (MCS) coupled to the SEM and configured to predict a filter maintenance generate an indication of the predicted filter maintenance due time for an operator of the underwater hydrocarbon well.

A control unit (6) estimates an output value of a PM sensor (S2) located at a downstream side of a DPF used as a reference filter, and detects whether the estimated output value exceeds a predetermined value (S3). When the estimated output value exceeds the predetermined value (YES in S3), the control unit detects an output value of the PM sensor (S4), and a heater heats the PM sensor (S5). The control unit detects an output value of the PM sensor (S6) after the PM sensor is heated, and calculates a change ratio of the output values of the PM sensor before and after heating (S7). The control unit estimates an average particle size of PM based on the calculated change ratio (S8), and detects whether the DPF has failed based on a comparison result of a corrected output value of the PM sensor with a threshold value.

Turbidity measurement systems and methods of using the same are described. A turbidity measurement system comprise a vessel configured to hold a wellbore fluid, wherein a permeable obstruction to flow is positioned in the vessel; a light source positioned to direct light at the vessel; a light detector positioned to measure light intensity of light emitted by the light source and passing through the vessel; and a backscatter detector positioned to measure the light intensity of reflected light emitted from the light source.

In one embodiment, a computing device includes one or more processors configured to execute instructions that cause the one or more processors to acquire pressure data measured by at least one pressure sensor disposed proximate to a filter house in an intake of a gas turbine engine system, derive an airflow or an air mass flow through a duct of the intake using a thermodynamic model of the gas turbine engine system based at least on the pressure data, derive an intake pressure drop in the duct using at least the pressure data, derive a loss parameter of the filter house by combining the air mass or air mass flow, and the intake pressure drop, derive a pressure loss model based on the loss parameter over a period of time, and determine a condition of the filter house based on the pressure loss model.

A projector includes an exterior housing taking in outside air via a filter, , a suction fan having an intake opening taking in the outside air, a front chamber communicating with the filter and the intake opening, a pressure sensor placed in the front chamber, and a control unit drive-controlling the suction fan. The control unit executes first measurement processing of activating the suction fan and measuring pressure of the front chamber at a rotation number at the activation by the pressure sensor, second measurement processing of setting a rotation number of the suction fan to a rotation number lower than the rotation number at the activation and measuring the pressure of the front chamber by the pressure sensor, and determination processing of determining clogging of the filter based on a difference between a pressure value of the first measurement processing and a pressure value of the second measurement processing.

A system can include a filter assembly with a filter and a substance in the filter assembly, and at least one optical computing device having an integrated computational element which receives electromagnetic radiation from the substance. A method can include receiving electromagnetic radiation from a substance in a filter assembly, the electromagnetic radiation from the substance being received by at least one optical computing device having an integrated computational element, and the receiving being performed while a filter is positioned in the filter assembly. A detector may receive electromagnetic radiation from the integrated computational element and produce an output correlated to a characteristic of the substance. A mitigation technique may be selected, based on the detector output.

An apparatus for measuring black powder dislodgment and entrainment velocities. The apparatus comprises an inlet section including a first gas source having a test gas, a second source having an additional gas, and an inlet pipe coupled to the first and second gas sources, a plenum having an inlet plate coupled to the inlet pipe for receiving the test gas or the additional gas and distributing the received gas into a steady flow, and a plurality of test sections extending from the plenum, each test section including a particle generation spool at which black powder is generated from the test gas via a condensation process, and a filtration spool downstream from the particle generation spool having at least one membrane element for filtering out black powder from the test gas flow and also having pressure gauges from which black powder dislodgment and entrainment velocities can be determined.

The invention relates to a blood treatment device comprising an attachment unit 7 for attaching a functional unit 1 intended for single use for carrying out the blood treatment. The blood treatment device according to the invention is characterised by a monitoring unit 8 for monitoring the operability and/or the operating state of the functional unit 1, which functional unit comprises at least one light transmitter 17A, 18A and at least one light receiver 17B, 18B. The light transmitter and light receiver are arranged in the monitoring unit 8 according to the invention on one side of the functional unit 1. The arrangement of the light transmitter and light receiver on the same side has the advantage that the monitoring unit 8 can be integrated into the attachment unit 7 of the blood treatment device without any major structural modifications. The monitoring of the functional unit 1 is based on an optical measurement method in which the light reflected on a part of the functional unit 1 or a part of the attachment unit 7 is detected. A calculation- and evaluation unit 13 is configured such that conclusions can be drawn as to a defective state and/or a certain operating state of the functional unit 1 based on the intensity of the light falling on the functional unit and the light reflected on the functional unit or the attachment unit.

A slurry analysis system (14) for estimating a first characteristic of a slurry (12) having a plurality of particles (18) suspended in a dispersion medium (20) can include a slurry filter (40) that filters the slurry (12); and a control system (26) that estimates the first characteristic of the slurry (12) using a flow rate of a filtrate (50) through the slurry filter (40) and a slurry filtration pressure of the slurry (12).