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公开(公告)号:US20230297058A1
公开(公告)日:2023-09-21
申请号:US18186903
申请日:2023-03-20
Applicant: Delaware Capital Formation, Inc.
Inventor: Bodhayan Dev , Atish P. Kamble , Prem Swaroop , Vijay Karthick Baskar , Richard Buteau , Sreedhar Patnala
IPC: G05B19/048 , H04W4/38
CPC classification number: G05B19/048 , H04W4/38 , G05B2219/24075
Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for an end-to-end wireless sensor hub include: configuring a sensor hubs in an order using a sequence established by 5 a time of addition to a network. The sensor hubs is grouped into one or more groups. Sensor data captured by the one or more groups is obtained according to a current group number, wherein the sensor data is obtained from each group of the one or more groups according to a predetermined schedule.
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公开(公告)号:US20240193615A1
公开(公告)日:2024-06-13
申请号:US18287624
申请日:2022-04-20
Applicant: Delaware Capital Formation, Inc.
Inventor: Prem Swaroop , Bodhayan Dev , Atish P. Kamble , Girish Juneja , Jonah Somers
IPC: G06Q30/012
CPC classification number: G06Q30/012
Abstract: Among other things, techniques are described for an after-market service process digitization. Service data is obtained that is associated with at least one asset and comprises at least historical warranty data and current IoT data. Predictive analysis to generate an asset survival prediction is performed based on current data associated with a first asset and the service data. Troubleshooting data associated with the first asset from at least one knowledge data source is received. A warranty coverage metric is determined based on the asset survival prediction and the troubleshooting data, wherein the warranty coverage metric is calculated in real time according to the asset survival prediction and the troubleshooting data. The warranty coverage metric is transformed at a device into human-readable form.
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公开(公告)号:US20220318616A1
公开(公告)日:2022-10-06
申请号:US17223525
申请日:2021-04-06
Applicant: Delaware Capital Formation, Inc.
Inventor: Atish P. Kamble , Prem Swaroop , Bodhayan Dev , Nicholas Möller
Abstract: Among other things, techniques are described for predictive maintenance using vibration analysis of vane pumps. Sensor data is obtained and pre-processed the sensor data according to at least one feature extraction system. The features are extracted from the pre-processed sensor data and classified into at least one operating condition. A representation of the at least one operating condition is rendered at a device.
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公开(公告)号:US20240184282A1
公开(公告)日:2024-06-06
申请号:US18285449
申请日:2022-03-31
Applicant: Delaware Capital Formation, Inc.
Inventor: Bodhayan Dev , Atish P. Kamble , Prem Swaroop , Vijay Karthick Baskar , Richard Buteau , Sreedhar Patnala
CPC classification number: G05B23/0283 , F04C14/28 , F04C2270/12 , F04C2270/80
Abstract: Among other things, systems and techniques are described for predictive maintenance of industrial equipment. Sensor data is obtained, e.g., using sensor hubs that are configured to capture sensor data associated with one or more operating conditions of the industrial equipment. The sensor data is input to a trained machine learning model. The trained machine learning model includes a physics based feature extraction model and a deep learning based automatic feature extraction model. Operating conditions associated with operation of the industrial equipment are predicted using the trained machine learning models.
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