G07C3/14

FLUORESCENT DETECTION OF AMINES AND HYDRAZINES AND ASSAYING METHODS THEREOF
20230139797 · 2023-05-04 ·

Provided herein are processes for preparing fluorescent 1-cyano-2-substituted isoindole compounds or N-substituted phthalazinium compounds, comprising reacting an aromatic dialdehyde or aromatic aldehyde-ketone compound with a material that contains primary amino or hydrazine groups, and assaying methods involving the processes thereof.

Systems and methods for gas turbine operational impact modeling using statistical and physics-based methodologies

Systems and methods for gas turbine operational impact modeling using statistical and physics-based methodologies are disclosed. According to one embodiment of the disclosure, a method can include receiving, by one or more processors, operational conditions data associated with a hardware component of a gas turbine; based at least in part on the operational variation data, applying, by one or more processors, statistical methods to establish an operational profile of the hardware component; receiving, by one or more processors, operating parameters and operational conditions data associated with the hardware component; based at least in part on the operating parameters and the operational conditions data, applying, by one or more processors, physics-based methods to establish an operational impact factor of the hardware component; and based at least in part on the operational profile and the operational impact factor determining, by one or more processors, a probability of a failure of the hardware component within a time period.

Systems and methods for gas turbine operational impact modeling using statistical and physics-based methodologies

Systems and methods for gas turbine operational impact modeling using statistical and physics-based methodologies are disclosed. According to one embodiment of the disclosure, a method can include receiving, by one or more processors, operational conditions data associated with a hardware component of a gas turbine; based at least in part on the operational variation data, applying, by one or more processors, statistical methods to establish an operational profile of the hardware component; receiving, by one or more processors, operating parameters and operational conditions data associated with the hardware component; based at least in part on the operating parameters and the operational conditions data, applying, by one or more processors, physics-based methods to establish an operational impact factor of the hardware component; and based at least in part on the operational profile and the operational impact factor determining, by one or more processors, a probability of a failure of the hardware component within a time period.

ADVANCED DISCRETE CONTROL DEVICE DIAGNOSTIC ON DIGITAL OUTPUT MODULES

An apparatus performs methods for device diagnostics based on signals from digital outputs. The apparatus includes an input/output module with a digital output module to be coupled to a device. The input/output module measures one or more characteristics of a digital signal provided by the digital output module, where at least one of the one or more characteristics of the digital signal is associated with an output current of the digital output module. The input/output module also performs one or more diagnostics using the one or more measured characteristics of the digital signal.

ANOMALY DETECTION SYSTEMS AND METHODS

This disclosure relates to the analysis of data generated by one or more connected systems and devices. Operational data obtained by one or more connected devices and/or systems, such as a connected thermostat and/or wind turbine system, may be used to detect and/or predict impending failures and/or suboptimal performance. By detecting and/or predicting anomalous system and device performance, various actions may be taken to improve system and device performance and mitigate failure conditions.

EQUIPMENT MONITORING SYSTEM AND METHOD OF ITS USE
20170352246 · 2017-12-07 · ·

Methods and systems of the present disclosure are directed to monitoring an equipment apparatus and alerting an individual of a malfunction. The system is integrated with a target equipment apparatus to monitor operating conditions. When a baseline operating condition changes to an alarm condition, an alarm signal is sent to a monitor. The system also includes an external power supply so that the alarm signal can still be sent in the event of a power failure. The monitor sends a message output to a communication control module that includes a radio transmitter, such as a cellular radio transmitter or a satellite radio transmitter. The radio transmitter transmits a message to a receiver, such as a cellular phone or a satellite phone. The messages are sent repeatedly until the baseline operating condition is restored. The system can thus be used in methods to provide fast, reliable, and inexpensive remote monitor equipment apparatus such as heating systems, control systems, power systems, electrical systems, mechanical systems, and the like.

Tracking of mass-produced products

In an approach to tracking mass-produced items via a digital twin, one or more computer processors receive one or more images of a product. One or more computer processors retrieve a digital twin template corresponding to the product. One or more computer processors detect an imperfection in the one or more images of the product. One or more computer processors map data associated with the imperfection to the digital twin template. One or more computer processors map data associated with the imperfection to the digital twin template. One or more computer processors assign a unique identifier to the digital twin template that includes the data associated with the imperfection. One or more computer processors store the data associated with the imperfection in association with the unique identifier.

Tracking of mass-produced products

In an approach to tracking mass-produced items via a digital twin, one or more computer processors receive one or more images of a product. One or more computer processors retrieve a digital twin template corresponding to the product. One or more computer processors detect an imperfection in the one or more images of the product. One or more computer processors map data associated with the imperfection to the digital twin template. One or more computer processors map data associated with the imperfection to the digital twin template. One or more computer processors assign a unique identifier to the digital twin template that includes the data associated with the imperfection. One or more computer processors store the data associated with the imperfection in association with the unique identifier.

INSPECTION TOOL FOR MANUFACTURED COMPONENTS
20170248940 · 2017-08-31 ·

There is described herein an inspection tool for use during the inspection of components as manufactured. The inspection tool allows the comparison of measurement data with nominal data and provides complementary information with regards to at least one feature of the component.

MULTIVARIATE STATISTICAL PROCESS CONTROL OF LASER POWDER BED ADDITIVE MANUFACTURING
20170246810 · 2017-08-31 ·

This invention relates to a method for using a multivariate statistical control process to reduce the variation of an additively manufactured part or object. The invention also relates to a system and software that can be used to implement the method in additive manufacturing devices or apparatuses.