Feelit

uiux

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A Breakthrough in Predictive Maintenance from the Technion

Every year, industrial companies pay astronomical amounts of money because of problems and leaks, which sometimes also cause safety hazards and environmental damage. In order to detect these issues in time, industries incorporate preventive maintenance solutions. However, these usually require placing a device inside the equipment. Feelit’s solution is different: it senses from the outside without requiring an invasive introduction of a foreign body inside the system, without opening the asset or causing any delay in the regular work process.

Feelit’s innovative solution was born in the labs of the Technion-Israel Institute of Technology. Prof. Hossam Haick, a world-renowned chemical engineer, worked on the development of an “electronic nose” capable of identifying the progress of diseases according to smells. Dr. Gady Konvalina, who is the CEO of Feelit, and Dr. Meital Segev-Bar, CTO, were then Prof. Haick’s doctoral students. During their experiments, the three discovered material that is sensitive to changes that are 50 times tinier than other material. They immediately understood the potential for preventive maintenance.

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Cardiac waveform sensing

Abstract
A sensing device that may include sensing elements that elements comprise a first sensing element, a second sensing element; wherein each sensing element comprises one or more piezoresistive materials; and a sensing circuit that is coupled to the sensing elements, wherein the sensing circuit is configured to sense a resistance of the first sensing element and of the second sensing element, and to determine, based on the resistance of the first sensing element and of the second sensing element, a first parameter of a cardiac waveform of a living being, wherein the cardiac waveform (a) is sensed by the first sensing element, and (ii) is not sensed by the second sensing element.

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Pinch valve monitoring

Abstract
A method for monitoring a pinch valve, the method may include sensing an electrical parameter of at least one flexible sensor during a monitoring period to provide multiple values of the sensed electrical parameter; wherein the at least one flexible sensor comprises piezoresistive nanomaterials, wherein the piezoresistive nanomaterials are directly coupled to a flexible conduit of the pinch valve; wherein the sensed electrical parameter is indicative of a flexible conduit parameter selected out of stress and pressure; and estimating, based on the multiple values of the sensed electrical parameter, a state of the pinch valve.


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Sensing using nanoparticle based strain sensors

Abstract
A method for determining a fluid pressure parameter related to a fluid located within a fluid conduit, the method may include measuring one or more resistances of one or more nanoparticle based sensing elements to provide sensed information; wherein the one or more nanoparticle based sensing elements comprise nanometric particles having an electrical resistance that is responsive to at least one out of pressure and temperature; wherein the one or more nanoparticle based sensing elements are printed between conductive electrodes, wherein the conductive electrodes are either printed on an exterior of the fluid conduit or are formed on a substrate that is attached to the exterior of the fluid conduit; and determining, based on the sensed information, the fluid pressure parameter.

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Methods and devices for determination of differential parameters associated with fluid flow within a conduit

Abstract
The present invention provides methods for determining a parameter associated with a flow of a fluid located within a fluid conduit, based on measuring the difference between electrical signals of at least two second sensing elements contacting different positions on am exterior of the fluid conduit. The sensing elements comprise an assembly of nanoparticles being in electric contact with conductive electrodes; wherein the electrical signals of the sensing elements are responsive to at least one of pressure and temperature. Further provided is a clamping device configured to reduce a cross-sectional diameter of a portion of the fluid conduit, in order to determine said parameter.



High resolution pressure sensing

Abstract
A pressure sensing device that may include a first and second sensing elements that comprise one or more piezoresistive materials; wherein the first sensing element has a first gradient; wherein the second sensing element has a second gradient; wherein the second gradient differs from the first gradient; wherein the first and second gradients facilitate a determination of a load of and a location of an event that involves applying pressure on the first and second sensing element.

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Platform unit for combined sensing of pressure, temperature and humidity

Abstract
A modular platform unit comprising a plurality of sensors for the combined sensing of pressure, temperature and humidity. In particular, the sensors are composed of a layer of metallic-capped nanoparticles (MCNP) casted on a flexible substrate or a rigid substrate. Integration of the platform unit for artificial or electronic skin applications is disclosed.

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Continental Invests in Israeli Industrial Sensing Start-up Feelit

Continental has acquired a minority stake in the Industry 4.0 start-up Feelit, headquartered in Tel Aviv, Israel. Both companies have agreed not to disclose the amount of the holding. Feelit provides cutting-edge predictive maintenance solutions for various industrial equipment and machinery based on proprietary hardware sensors and dedicated algorithms. The start-up has developed a structural sensing technology that is up to 50 times more sensitive than current standard market applications. Feelit uses printed, nanomaterial-based, fully integrated sensors and cloud analytics to enable live, remote feedback on structural and performance changes in equipment. The sensors can be integrated, for example, into battery cooling systems for electric vehicles to optimize battery life and range. Continental sees additional potential for remote condition monitoring and predictive maintenance applications for its industrial hoses for the food and beverage industry, for hydraulic and energy solutions complying with safety requirements, and for avoiding unplanned and costly downtimes in manufacturing.





Nanotech startup Feelit raises $7 million led by Continental and Henkel

Haifa-based nanotech startup Feelit has completed its first significant funding round, announcing on Monday that it has raised a $7 million Series A, four years after its founding. German automotive parts giant Continental and Henkel Tech Ventures, the corporate venture capital arm of Henkel Adhesive Technologies, each invested $3 million, with the Vasuko Global Tech Fund investing $1 million.

Feelit was founded in 2017 by Gady Konvalina (CEO), Meital Segev-Bar (CTO) and Prof. Hossam Haick of the Technion, with all three being experts in chemical engineering and materials engineering.

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Dhm

Regular

A Breakthrough in Predictive Maintenance from the Technion

Every year, industrial companies pay astronomical amounts of money because of problems and leaks, which sometimes also cause safety hazards and environmental damage. In order to detect these issues in time, industries incorporate preventive maintenance solutions. However, these usually require placing a device inside the equipment. Feelit’s solution is different: it senses from the outside without requiring an invasive introduction of a foreign body inside the system, without opening the asset or causing any delay in the regular work process.

Feelit’s innovative solution was born in the labs of the Technion-Israel Institute of Technology. Prof. Hossam Haick, a world-renowned chemical engineer, worked on the development of an “electronic nose” capable of identifying the progress of diseases according to smells. Dr. Gady Konvalina, who is the CEO of Feelit, and Dr. Meital Segev-Bar, CTO, were then Prof. Haick’s doctoral students. During their experiments, the three discovered material that is sensitive to changes that are 50 times tinier than other material. They immediately understood the potential for preventive maintenance.

View attachment 3443


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---



Cardiac waveform sensing

Abstract
A sensing device that may include sensing elements that elements comprise a first sensing element, a second sensing element; wherein each sensing element comprises one or more piezoresistive materials; and a sensing circuit that is coupled to the sensing elements, wherein the sensing circuit is configured to sense a resistance of the first sensing element and of the second sensing element, and to determine, based on the resistance of the first sensing element and of the second sensing element, a first parameter of a cardiac waveform of a living being, wherein the cardiac waveform (a) is sensed by the first sensing element, and (ii) is not sensed by the second sensing element.

View attachment 3444




Pinch valve monitoring

Abstract
A method for monitoring a pinch valve, the method may include sensing an electrical parameter of at least one flexible sensor during a monitoring period to provide multiple values of the sensed electrical parameter; wherein the at least one flexible sensor comprises piezoresistive nanomaterials, wherein the piezoresistive nanomaterials are directly coupled to a flexible conduit of the pinch valve; wherein the sensed electrical parameter is indicative of a flexible conduit parameter selected out of stress and pressure; and estimating, based on the multiple values of the sensed electrical parameter, a state of the pinch valve.


View attachment 3446



Sensing using nanoparticle based strain sensors

Abstract
A method for determining a fluid pressure parameter related to a fluid located within a fluid conduit, the method may include measuring one or more resistances of one or more nanoparticle based sensing elements to provide sensed information; wherein the one or more nanoparticle based sensing elements comprise nanometric particles having an electrical resistance that is responsive to at least one out of pressure and temperature; wherein the one or more nanoparticle based sensing elements are printed between conductive electrodes, wherein the conductive electrodes are either printed on an exterior of the fluid conduit or are formed on a substrate that is attached to the exterior of the fluid conduit; and determining, based on the sensed information, the fluid pressure parameter.

View attachment 3445




Methods and devices for determination of differential parameters associated with fluid flow within a conduit

Abstract
The present invention provides methods for determining a parameter associated with a flow of a fluid located within a fluid conduit, based on measuring the difference between electrical signals of at least two second sensing elements contacting different positions on am exterior of the fluid conduit. The sensing elements comprise an assembly of nanoparticles being in electric contact with conductive electrodes; wherein the electrical signals of the sensing elements are responsive to at least one of pressure and temperature. Further provided is a clamping device configured to reduce a cross-sectional diameter of a portion of the fluid conduit, in order to determine said parameter.



High resolution pressure sensing

Abstract
A pressure sensing device that may include a first and second sensing elements that comprise one or more piezoresistive materials; wherein the first sensing element has a first gradient; wherein the second sensing element has a second gradient; wherein the second gradient differs from the first gradient; wherein the first and second gradients facilitate a determination of a load of and a location of an event that involves applying pressure on the first and second sensing element.

View attachment 3447



Platform unit for combined sensing of pressure, temperature and humidity

Abstract
A modular platform unit comprising a plurality of sensors for the combined sensing of pressure, temperature and humidity. In particular, the sensors are composed of a layer of metallic-capped nanoparticles (MCNP) casted on a flexible substrate or a rigid substrate. Integration of the platform unit for artificial or electronic skin applications is disclosed.

View attachment 3448


---



Continental Invests in Israeli Industrial Sensing Start-up Feelit

Continental has acquired a minority stake in the Industry 4.0 start-up Feelit, headquartered in Tel Aviv, Israel. Both companies have agreed not to disclose the amount of the holding. Feelit provides cutting-edge predictive maintenance solutions for various industrial equipment and machinery based on proprietary hardware sensors and dedicated algorithms. The start-up has developed a structural sensing technology that is up to 50 times more sensitive than current standard market applications. Feelit uses printed, nanomaterial-based, fully integrated sensors and cloud analytics to enable live, remote feedback on structural and performance changes in equipment. The sensors can be integrated, for example, into battery cooling systems for electric vehicles to optimize battery life and range. Continental sees additional potential for remote condition monitoring and predictive maintenance applications for its industrial hoses for the food and beverage industry, for hydraulic and energy solutions complying with safety requirements, and for avoiding unplanned and costly downtimes in manufacturing.





Nanotech startup Feelit raises $7 million led by Continental and Henkel

Haifa-based nanotech startup Feelit has completed its first significant funding round, announcing on Monday that it has raised a $7 million Series A, four years after its founding. German automotive parts giant Continental and Henkel Tech Ventures, the corporate venture capital arm of Henkel Adhesive Technologies, each invested $3 million, with the Vasuko Global Tech Fund investing $1 million.

Feelit was founded in 2017 by Gady Konvalina (CEO), Meital Segev-Bar (CTO) and Prof. Hossam Haick of the Technion, with all three being experts in chemical engineering and materials engineering.

View attachment 3449

Hi @uiux is your post acknowledgement of a competitor or are you saying Brainchip may be behind it? Cheers and thanks.
 
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uiux

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Hi @uiux is your post acknowledgement of a competitor or are you saying Brainchip may be behind it? Cheers and thanks.

Just a technology from Hossam Haick that covers predictive maintenance. It's a potential customer. Akida would be perfect for this.

Just sharing my research
 
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