Abstract: Disclosed are a ternary cathode material and a preparation method and application thereof. The ternary cathode material has a chemical formula of LiNix CoyMn(1-x-y)MO2, wherein 0.5?x?1, y?0, M is at least one selected from the group of niobium, boron and titanium. In the present disclosure, through the reaction between the niobium compound, the boron compound or the titanium compound with the residual lithium on the surface of the calcinated materials, the micro powder deposits in the defect position of the lithium crystal lattice on the surface of the calcinated material, so that the content of the micro powder can be greatly reduced. Meanwhile part of the surface residual lithium is consumed by the reaction to generate lithium niobate, lithium borate or lithium titanate which is uniformly coated on the surface of the material, thereby obtaining the ternary cathode material with excellent cycle and rate performance.

Abstract: A monitoring system includes a processor configured to receive sensor data from one or more sensors positioned about a mineral extraction system, input the sensor data into a model to generate a health index predictive of a future condition of a component of a blowout preventer (BOP) stack assembly of the mineral extraction system, and to provide an output indicative of the future condition of the component of the BOP stack assembly.

Abstract: Method and apparatus for assessing health of fracturing fluid pump assemblies and other wellsite equipment. For example, predicted data indicative of a first operational parameter of a pump assembly is generated utilizing: a model relating the first operational parameter to each of a plurality of second operational parameters of the pump assembly; and real-time data indicative of each of the second operational parameters. Health of the pump assembly is then assessed based on: the predicted data indicative of the first operational parameter; and real-time data indicative of the first operational parameter.

Abstract: A monitoring system includes a processor configured to receive sensor data from one or more sensors positioned about a mineral extraction system, input the sensor data into a model to generate a health index predictive of a future condition of a component of a blowout preventer (BOP) stack assembly of the mineral extraction system, and to provide an output indicative of the future condition of the component of the BOP stack assembly.

Abstract: Method and apparatus for assessing health of fracturing fluid pump assemblies and other wellsite equipment. For example, predicted data indicative of a first operational parameter of a pump assembly is generated utilizing: a model relating the first operational parameter to each of a plurality of second operational parameters of the pump assembly; and real-time data indicative of each of the second operational parameters. Health of the pump assembly is then assessed based on: the predicted data indicative of the first operational parameter; and real-time data indicative of the first operational parameter.

Abstract: Provided is an electro-optical phase modulation system, including: an electro-optical crystal, a radio frequency circuit and a light source, light incident surface of the electro-optical crystal is in parallel with light exit surface, upper electrode surface thereof is in parallel with lower electrode surface, and an angle between light incident surface and upper electrode surface is Brewster angle; two electrodes of radio frequency circuit are connected to upper and lower electrode surfaces respectively, for transmitting radio frequency signals to upper and lower electrode surfaces, so that an electric filed, direction of which is perpendicular to upper electrode surface, is formed between upper and lower electrode surfaces; light source is located at a side of light incident surface, and incidence angle of beams from light source with respect to light incident surface is Brewster angle. The system is used to reduce residual amplitude modulation, and increase accuracy of phase modulation.

Abstract: In one embodiment, a method for managing an industrial process wherein a processor transforms electronic data into an energy prognosis is provided. An energy related test signal including effective power test data indicative of electrical energy consumed by an energy consuming machine may be received. The energy related test signal may be partitioned into an energy related test sub-signal. Mathematical functions may be applied to the energy related test sub-signal to extract a feature set of data from the energy related test sub-signal. The feature set of data may be transformed with a transformation matrix into a reduced test feature set. The reduced test feature set may be input into a performance assessment algorithm based at least in part upon a reduced training feature set derived from data indicative of electrical energy consumed during healthy operation. A power-based performance index may be generated with the performance assessment algorithm.

Abstract: In one embodiment, a method for managing an industrial process wherein a processor transforms electronic data into an energy prognosis is provided. An energy related test signal including effective power test data indicative of electrical energy consumed by an energy consuming machine may be received. The energy related test signal may be partitioned into an energy related test sub-signal. Mathematical functions may be applied to the energy related test sub-signal to extract a feature set of data from the energy related test sub-signal. The feature set of data may be transformed with a transformation matrix into a reduced test feature set. The reduced test feature set may be input into a performance assessment algorithm based at least in part upon a reduced training feature set derived from data indicative of electrical energy consumed during healthy operation. A power-based performance index may be generated with the performance assessment algorithm.