A particulate filter inspection system for a particulate filter includes a compressed air source. A primary conduit, a controller, a probe, and a gauge. The compressed air source is configured to draw air from an air source. The primary conduit is configured to receive the air from the compressed air source. The probe is coupled to the primary conduit and communicable with the controller. The probe is configured to interface with a face of the particulate filter to provide the air to only a sector of the particulate filter. The gauge is configured to determine a pressure of a first portion of the air within the primary conduit when the probe is providing a second portion of the air to only a sector of the face of the particulate filter. The controller is configured to receive the pressure from the gauge and compare the pressure to a target upper pressure.

An aerosol distributor and an arrangement for filter leakage detection in a gas filtration system comprising such aerosol distributor, the aerosol distributor being configured to be positioned in a gas stream upstream of a filter, said aerosol distributor comprising: a hollow housing having at least one aerosol inlet for admitting an aerosol from an aerosol source into a chamber inside said housing, and a plurality of aerosol outlet holes for releasing the aerosol from the chamber into a gas stream surrounding the housing, wherein said housing has a plate like shape having an upstream surface configured to face an incoming gas stream and a downstream surface configured to face a filter, wherein said housing comprises a plurality of channels extending between channel inlets at the upstream surface and channel outlets at the downstream surface of the housing, such that gas from the gas stream can pass through the housing.

The present invention provides a smart air filter blockage detection and alert communication system for use with filters in air circulation systems such as HVAC, vehicles, server systems, and dryers. The system attached to the frame of a filter comprises a light source, a light sensor, two actuators and a control unit. The control unit based on a stored program or an external command activates the actuators to place the source and the sensor devices attached to the two arms of the actuators on the two sides of the filter membrane. The sensor measures the light intensity transmitted through the filter. The control unit upon receiving the intensity data determines the filter blockage level and communicates alert to the user when the blockage exceeds a predetermined value. The system uses a 4G or a 5G IoT network capability for data collection and communication with servers and user devices.

A filtration monitoring system is an electronic system control module installed on an internal combustion engine or within a vehicle powered by the internal combustion engine. The filtration monitoring system monitors the health and status of the filtration systems present on the engine. The filtration monitoring system tracks filter loading patterns and predicts remaining service life of the filters by running smart algorithms based on sensor feedback (e.g., pressure sensor feedback, fluid quality characteristic sensor feedback, etc.). In some arrangements, the described filtration monitoring systems provide feedback as to whether a genuine (i.e., authorized, OEM approved, etc.) or unauthorized filter cartridge is installed in a given filtration system. The filtration monitoring system may be retrofit into an existing internal combustion engine or vehicle that does not already have a filtration monitoring system.

A system and method of compensating for airspeed when measuring pressure drop across a filter system on an aircraft may include a pressure compensator, an internal pressure sensor, and an external pressure sensor. A filter media may be located around a housing such that air flows through the filter media into a clean air space defined by the filter media and the housing. The pressure compensator may be located outside of the clean air space and within an airstream of the aircraft. The internal pressure sensor may be configured to measure an internal pressure that varies with airspeed and the external pressure sensor may be located on the pressure compensator to measure an external pressure. The external pressure sensor may be positioned such that the external pressure varies according to a known relationship relative to the internal pressure as the airspeed of the aircraft changes.

Defect detection systems include at least one nozzle for delivering a CO.sub.2 particulate fluid to an inlet end of a plugged honeycomb body. Defects in the honeycomb, if any, are determined by monitoring CO.sub.2 particulate flow at the outlet end of the honeycomb body. Methods for detecting defects in plugged honeycomb bodies are also disclosed.

A honeycomb body having a porous ceramic honeycomb structure with a first end, a second end, and a plurality of walls having wall surfaces defining a plurality of inner channels. A highly porous layer is disposed on one or more of the wall surfaces of the honeycomb body. The highly porous layer has a porosity greater than 90%, and has an average thickness of greater than or equal to 0.5 μm and less than or equal to 10 μm. A method of making a honeycomb body includes depositing a layer precursor on a ceramic honeycomb body and binding the layer precursor to the ceramic honeycomb body to form the highly porous layer.

A testing device, a testing method, and a design method for a rotary pressure filter. The device includes a stabilizer tank; a buffer tank connected to the stabilizer tank; a filter frame disposed beneath the buffer tank, and connected to the buffer tank; a liquid receiving tank disposed beneath the filter frame; an electronic balance disposed at bottom of the liquid receiving tank; and a seconds counter. The testing method includes adding a certain calculated amount of testing slurry into the filter frame, introducing a gas with a certain pressure into the stabilizer tank, filling the filter frame through the buffer tank, opening a valve at bottom of the filter frame, measuring a mass of the expelled filtrate expelled from the filter frame, measuring time of the filtering process, sampling and analyzing the filter cake and the expelled filtrate according to actual needs; and perform cleaning and drying processes sequentially.

A method for predicting the likelihood of coagulation of active material particles contained in a slurry for electrode preparation includes measuring rheological properties before and after the slurry is subjected to a shear. The estimation method enables a prediction of filter clogging with a slurry, and thus makes it possible to estimate the likelihood of filter clogging with a slurry without passing the slurry directly through the filter, thereby improving the efficiency of a battery manufacturing process.

A clogging determination device includes a first antenna disposed at one of a side of a first end and a side of a second end of a filter disposed internally of a case, a second antenna disposed at the other of the side of the first end and the side of the second end of the filter, a multi-tone signal generator that has an output terminal coupled to the first antenna, outputs from the output terminal a multi-tone signal obtained by compositing a plurality of signals having different frequencies, and moves a position of an envelope of the multi-tone signal emitted to the filter from the first antenna, a detector that is coupled to the second antenna, and detects an intensity of the multi-tone signal received by the second antenna, and a determinator that determines a degree of clogging of the filter based on an intensity of the multi-tone signal.