Abstract:
Using an optical computing device includes optically interacting electromagnetic radiation with a sample and a first integrated computational element arranged within a primary channel, optically interacting the electromagnetic radiation with the sample and a second integrated computational element arranged within a reference channel, producing first and second modified electromagnetic radiations from the first and second integrated computational elements, respectively, receiving the first modified electromagnetic radiation with a first detector, and receiving the second modified electromagnetic radiation with a second detector, generating a first output signal with the first detector and a second output signal with the second detector, and computationally combining the first and second output signals with a signal processor to determine the characteristic of interest of the sample.
Abstract:
A model can be trained for discriminant analysis for substance classification and/or measuring calibration. One method includes interacting at least one sensor with one or more known substances, each sensor element being configured to detect a characteristic of the one or more known substances, generating an sensor response from each sensor element corresponding to each known substance, wherein each known substance corresponds to a known response stored in a database, and training a neural network to provide a discriminant analysis classification model for an unknown substance, the neural network using each sensor response as inputs and one or more substance types as outputs, and the outputs corresponding to the one or more known substances.
Abstract:
Using an optical computing device includes optically interacting electromagnetic radiation with a sample and a first integrated computational element arranged within a primary channel, optically interacting the electromagnetic radiation with the sample and a second integrated computational element arranged within a reference channel, producing first and second modified electromagnetic radiations from the first and second integrated computational elements, respectively, receiving the first modified electromagnetic radiation with a first detector, and receiving the second modified electromagnetic radiation with a second detector, generating a first output signal with the first detector and a second output signal with the second detector, and computationally combining the first and second output signals with a signal processor to determine the characteristic of interest of the sample.
Abstract:
One disclosed optical computing device includes a sampling window arranged on a housing, an electromagnetic radiation source configured to emit electromagnetic radiation, the electromagnetic radiation being configured to optically interact with a substance outside of the sampling window, at least one integrated computational element (ICE) core arranged to optically interact with the electromagnetic radiation, and a detector arranged to receive the electromagnetic radiation following its optical interaction with the substance and the at least one ICE core and generate an output signal corresponding to a characteristic of the substance, wherein the electromagnetic radiation impinges upon the surfaces of the sampling window at an angle of incidence from normal to the sampling window, and wherein specular reflected light reflects off the sampling window at an opposing angle of incidence, the specular reflected light emanating away from the sampling window such that it is not detected by the detector.
Abstract:
A light source and a method for its use in an optical sensor are provided, the light source including a resistively heated element. The light source includes a power circuit configured to provide a pulse width modulated voltage to the resistively heated element, the pulse width modulated voltage including: a duty cycle with a first voltage; and a pulse period including a period with a second voltage, wherein: the duty cycle, the first voltage, and the pulse period are selected so that the resistively heated element is heated to a first temperature; and the first temperature is selected to emit black body radiation in a continuum spectral range. Also provided is an optical sensor for determining a chemical composition including a light source as above.
Abstract:
An exemplary optical computing device includes an electromagnetic radiation source that optically interacts with a sample having a characteristic of interest, a first integrated computational element arranged within a primary channel to optically interact with the electromagnetic radiation source and produce a first modified electromagnetic radiation, wherein the first integrated computational element is configured to be positively or negatively correlated to the characteristic of interest, a second integrated computational element arranged within a reference channel to optically interact with the electromagnetic radiation source and produce a second modified electromagnetic radiation, wherein the second integrated computational element is configured to correlated to the characteristic of interest with an opposite sign relative to the first integrated computational element, and a first detector arranged to generate a first signal from the first modified electromagnetic radiation and a second signal from the second modified electromagnetic radiation.
Abstract:
An exemplary optical computing device includes an electromagnetic radiation source that optically interacts with a sample having a characteristic of interest, a first integrated computational element arranged within a primary channel to optically interact with the electromagnetic radiation source and produce a first modified electromagnetic radiation, wherein the first integrated computational element is configured to be positively or negatively correlated to the characteristic of interest, a second integrated computational element arranged within a reference channel to optically interact with the electromagnetic radiation source and produce a second modified electromagnetic radiation, wherein the second integrated computational element is configured to correlated to the characteristic of interest with an opposite sign relative to the first integrated computational element, and a first detector arranged to generate a first signal from the first modified electromagnetic radiation and a second signal from the second modified electromagnetic radiation.
Abstract:
A disclosed system includes a light source and a nonlinear converter optically coupled to and remote from the light source. The nonlinear light converter converts a light pulse received from the light source to a broadened or spectrum-shifted light pulse. The system also includes a sensor in situ with the nonlinear light converter. The sensor performs a sense operation based on the broadened or spectrum-shifted light pulse and generates an electrical signal corresponding to the sense operation. The system also includes an electro-optical interface in situ with the sensor that transforms the electrical signal to an optical signal for conveyance to a signal collection interface A related method includes generating a light pulse and conveying the light pulse to a remote nonlinear light converter. The method also includes converting the light pulse to a broadened or spectrum-shifted light pulse. The method also includes performing a sense operation in the remote location using the broadened or spectrum-shifted light pulse and generating a corresponding electrical signal. The method also includes transforming the electrical signal to an optical signal for conveyance to a sense signal collection interface.
Abstract:
A model can be trained for discriminant analysis for substance classification and/or measuring calibration. One method includes interacting at least one sensor with one or more known substances, each sensor element being configured to detect a characteristic of the one or more known substances, generating an sensor response from each sensor element corresponding to each known substance, wherein each known substance corresponds to a known response stored in a database, and training a neural network to provide a discriminant analysis classification model for an unknown substance, the neural network using each sensor response as inputs and one or more substance types as outputs, and the outputs corresponding to the one or more known substances.
Abstract:
Systems and methods for optical fluid identification approximation and calibration are described herein. One example method includes populating a database with a calculated pseudo optical sensor (CPOS) response of a first optical tool to a first sample fluid. The CPOS response of the first optical tool may be based on a transmittance spectrum of a sample fluid and may comprise a complex calculation using selected components of the first optical tool. A first model may be generated based, at least in part, on the database. The first model may receive as an input an optical sensor response and output a predicted fluid property. A second model may also be generated based, at least in part, on the database. The second model may receive as an input at least one known/measured fluid/environmental property value and may output a predicted pseudo optical sensor response of the first optical tool.