Sensing methods and systems for transformers, and the construction thereof, are described herein. Example transformer systems and example methods for constructing a core for the system are disclosed. The example system includes a core with a bottom plate, two or more limbs mounted to the bottom plate and a top plate enclosing the core. At least one of the bottom plate, the limbs and the top plate is formed with a sensing component therein. The sensing component can be mounted to a spacer layer assembled within a stack of laminated layers. The sensing component can be mounted within a path defined within the spacer layer, for example. Methods for detecting operating conditions within the transformer are also disclosed.

An overheat detection system for an aircraft, the system comprising a first bleed monitoring computer, BMC1, configured to identify leakages in a pneumatic system, the BMC1 including a first optical controller, a second bleed monitoring computer, BMC2, the BMC2 including a second optical controller, an optical fiber link connecting the first optical controller of the BMC1 and the second optical controller of the BMC2 for communication between the BMC1 and the BCM2 and between the first optical controller and the second optical controller, wherein the first and the second optical controllers are configured to detect overheat of the optical fiber link based on a wavelength shift of a modulated optical signal transmitted through the optical fiber link, and transmit signals to the first BMC1 and the second BMC2 based at least on the detected overheat.

An overheat detection system for an aircraft, the system comprising a first bleed monitoring computer, BMC1, configured to identify leakages in a pneumatic system, the BMC1 including a first optical controller, a second bleed monitoring computer, BMC2, the BMC2 including a second optical controller, an optical fiber link connecting the first optical controller of the BMC1 and the second optical controller of the BMC2 for communication between the BMC1 and the BCM2 and between the first optical controller and the second optical controller, wherein the first and the second optical controllers are configured to detect overheat of the optical fiber link based on a wavelength shift of a modulated optical signal transmitted through the optical fiber link, and transmit signals to the first BMC1 and the second BMC2 based at least on the detected overheat.

An optical fiber sensor with high sensitivity and high spatial resolution is described. The optical fiber sensor includes a multicore fiber having cores configured to permit crosstalk between cores. Crosstalk corresponds to transfer of an optical signal from a core to another core and is used as a mechanism for sensing the external environment surrounding the multicore optical fiber. The degree of crosstalk depends on the relative refractive index profile of the cores and surrounding cladding, as well as on the spacing between cores. The external environment surrounding the multicore optical fiber and changes therein influence crosstalk between cores to permit sensing. The relative refractive index profiles of the cores are also configured to provide a group delay difference for optical signals propagating in different cores. The group delay difference facilitates the position of an external perturbation along the length of the multicore optical fiber.

A machine learning system and method are provided for using fiber-optic Distributed Acoustic Sensor (DAS) and Distributed Temperature Sensor (DTS) data to predict pressure along one or more optical fiber cables. DAS and DTS data are used to train a model to predict pressure based on the DAS and DTS data corresponding to optical signals carried on the fiber cable(s). The trained model is then used to process acquired DAS and DTS data corresponding to optical signals carried on the fiber cable(s) to the predict pressure distributed along the cable(s).

A machine learning system and method are provided for using fiber-optic Distributed Acoustic Sensor (DAS) and Distributed Temperature Sensor (DTS) data to predict pressure along one or more optical fiber cables. DAS and DTS data are used to train a model to predict pressure based on the DAS and DTS data corresponding to optical signals carried on the fiber cable(s). The trained model is then used to process acquired DAS and DTS data corresponding to optical signals carried on the fiber cable(s) to the predict pressure distributed along the cable(s).

There is provided a fiber optic temperature probe having a base, a first tube connected to the base, a second tube provided coaxially within the first tube, a probe tip extending through an opening in a distal end of the first tube; and an optical fiber extending from within the base through an opening in the proximal end of the first tube and being substantially coaxial with respect to the first tube. There is also provided a fiber optic temperature probe having a base, a first tube connected to the base, a probe tip extending through an opening in a distal end of the first tube, an optical fiber extending from within the base through an opening in the proximal end of the first tube and being substantially coaxial with respect to the first tube, and a first lens positioned between the probe tip and the optical fiber.

There is provided a fiber optic temperature probe having a base, a first tube connected to the base, a second tube provided coaxially within the first tube, a probe tip extending through an opening in a distal end of the first tube; and an optical fiber extending from within the base through an opening in the proximal end of the first tube and being substantially coaxial with respect to the first tube. There is also provided a fiber optic temperature probe having a base, a first tube connected to the base, a probe tip extending through an opening in a distal end of the first tube, an optical fiber extending from within the base through an opening in the proximal end of the first tube and being substantially coaxial with respect to the first tube, and a first lens positioned between the probe tip and the optical fiber.

Example embodiments include an optical assembly for an optical interrogation system having a single core or a multicore sensing fiber, a measurement fiber to couple light into the sensing fiber, and a reference fiber arranged with the measurement fiber as part of an optical interferometer. A beam splitter combines light from the sensing fiber and with light from the reference fiber. A polarization beam splitting prism separates the combined light into first polarized light and second polarized light that is orthogonal to the first polarized light. The optical assembly can substantially reduce the size, complexity, or cost associated with the traditional optical components in an optical interrogation system that it replaces. Other example optical assemblies are described. Embodiments describe optical interrogation systems using the example optical assemblies.

An optical sensor includes a tube-shaped base formed from a metal, an optical fiber member received inside the base, and a sensor head formed from monocrystalline alumina and bonded to the base to be optically connected with the optical fiber member. The sensor head is provided with a first cavity including a first reflection surface configured to reflect a part of light introduced through the optical fiber member and a second reflection surface provided facing the first reflection surface and configured to reflect a part of the light reflected by the first reflection surface. A first interference light produced by an interference between the light reflected by the first reflection surface and the light reflected by the second reflection surface is output from the first cavity.