A disclosed water droplet sensing system and methods using split-ring resonators, which may be embedded within a material. In use, a component includes at least one split-ring resonator (SRR) which may be embedded within a material of the component. The at least one SRR may be formed from a composite material. Additionally, the at least one SRR may be configured to form a signal that is correlated with a concentration of water proximate to the at least one SRR. In some aspects, each SRR may resonate at a first frequency in response to an electromagnetic ping when the material is in a first state, and may resonate at a second frequency in response to the electromagnetic ping when the material is in a second state. A resonant frequency of the material may be based on physical characteristics of the material (including fluid accumulation on the material).

According to one embodiment, a detection system includes a plurality of sensors, a locator, a first counter, and a determiner. The plurality of sensors that detect an elastic wave, the sensors being disposed separately from each other in a direction in which the welded portion extends and each being installed on the first member or the second member. The locator that locates a generation source position of the elastic wave on the basis of outputs of the plurality of sensors. The first counter that accumulates information of generation source positions of a plurality of elastic waves located by the locator to calculate a distribution of generation source positions of the plurality of elastic waves over a predetermined time. The determiner that determines the position of the crack on the basis of the distribution calculated by the first counter.

A sensor device that includes an integrated sensor assembly having a surface acoustic wave (SAW) sensor disposed on a piezoelectric substrate. The SAW sensor is adapted to measure an environmental condition of an environment in response to an RF signal. The SAW sensor includes an interdigitated transducer (IDT) formed on a substrate having at least a layer of a piezoelectric material. The SAW sensor includes either one or more SAW reflectors of a second IDT formed on the piezoelectric material. The SAW sensor further includes an RF antenna formed on the piezoelectric material. The SAW sensor and the RF antenna are integrated with one another on the piezoelectric material.

An ultrasound sensing system for monitoring the condition or integrity of a structure, comprising: a plurality of ultrasound sensors, each sensor being configured to receive at least one first electrical signal, transmit an ultrasound signal in response to said first electrical signal, receive at least one reflected ultrasound signal, and transmit a second electrical signal in response to said reflected ultrasound signal, said first and second electrical signals being analog; and at least one digital sensor interface (DSI) to which at least a portion of said sensors are connectable, said DSI being configured to transmit said first electrical signal and receive said second electrical signal, and to generate at least an A-scan signal based on said first and second electrical signals for each sensor, said DSI having a cellular transceiver for transmitting a cellular signal based directly or indirectly on at least said A-scan signal, said cellular signal including an address corresponding to said at least one DSI.

A method for monitoring at least one engine of an aircraft wherein the aircraft includes a passenger cabin. The method includes a step of acquiring a signal that is at least in part representative of the activity of the engine, using a sensor during a flight of the aircraft, and searching for a defect in the engine by a processing unit using data obtained from the signal. In some embodiments, the sensor is in a mobile device located in the passenger cabin. In some embodiments, the health of the at least one engine uses the signal acquired by a plurality of mobile devices.

A method includes receiving data characterizing a first acoustic signal reflected by a first defect in a target object, and a first depth of the first defect relative to a surface of the target object. The first acoustic signal is detected by a detector located at a first location on the surface of the target object. The method also includes assigning a defect color to the received data based on an amplitude value associated with the first acoustic signal and one or more of a first predetermined threshold value and a second predetermined threshold value associated with the first depth. The method further includes rendering, in a graphical user interface display space, a first visual representation of the first acoustic signal in a graph including a first axis indicative of target object defect depth and a second axis indicative of amplitudes of acoustic signals detected by the detector. The first visual representation of the first acoustic signal includes the assigned defect color.

A method for automatic diagnosis of a mechanical system of a group of mechanical systems sharing mechanical characteristics includes obtaining data relating to a vibration. The vibration-related data is acquired by a portable communications device configured to communicate with a remote processor. The processor automatically diagnoses the mechanical system by applying a relationship to the obtained vibration-related data. The relationship is based on sets of vibration-related data previously obtained from the mechanical systems. Each set of vibration-related data relates to vibrations of a mechanical system. The relationship is further based on sets of operation data previously obtained for mechanical systems of the group. Each set of operation data indicates a previous state of operation of a mechanical system. Each of the previous states of operation is associated with at least one of the previously obtained sets of vibration-related data.

A multi-frequency wireless sensor for non-destructive testing of a test object, the sensor comprising: an ultrasound transducer having a plurality of operating frequencies; a first induction coil electrically coupled to the ultrasound transducer; a second induction coil; and a capacitance, connected in parallel with the second induction coil, such that the wireless sensor can operate at a first operating frequency or a second operating frequency when the sensor is excited by a remote device.

The invention relates generally to an Internet of Things (IoT) enabled wireless sensor system using attached and/or embedded passive electromagnetic sensors (PES) with distribution hardware. One embodiment of this invention includes a wireless sensor system, which permits process control and predictive maintenance on a utility's electrical transmission and distribution grid. Another embodiment includes a wireless sensor system, which permits process control and predictive maintenance of liquid or gas through a pipeline. Another embodiment includes a wireless sensor system, which permits measurement of breathable air pollutants. Furthermore, a method of manufacturing a protective passive electromagnetic sensor pod and passive electromagnetic sensor equipped distribution hardware components is provided.

The invention relates generally to an Internet of Things (IoT) enabled wireless sensor system using attached and/or embedded passive electromagnetic sensors (PES) with distribution hardware. One embodiment of this invention includes a wireless sensor system, which permits process control and predictive maintenance on a utility's electrical transmission and distribution grid. Another embodiment includes a wireless sensor system, which permits process control and predictive maintenance of liquid or gas through a pipeline. Another embodiment includes a wireless sensor system, which permits measurement of breathable air pollutants. Furthermore, a method of manufacturing a protective passive electromagnetic sensor pod and passive electromagnetic sensor equipped distribution hardware components is provided.