Abstract: Described herein are Compressive Sensing algorithms developed for automated reduction of NDE/SHM data from pitch-catch ultrasonic guided waves as well as a methodology using Compressive Sensing at two stages in the data acquisition and analysis process to detect damage: (1) temporally undersampled sensor signals from (2) spatially undersampled sensor arrays, resulting in faster data acquisition and reduced data sets without any loss in damage detection ability.

Abstract: The disclosure deals with a system and method for Compressive Sensing, which has been shown to greatly reduce data acquisition and processing burdens by providing mathematical guarantees for accurate signal recovery from far fewer samples than conventionally needed. A generalized Compressive Sensing methodology developed for automated reduction of non-destructive evaluation/structural health monitoring (NDE/SHM) data is effective for multiple types of NDE/SHM systems. The methodology uses Compressive Sensing at two stages in the data acquisition and analysis process to detect damage. The two stages are: (1) temporally undersampled sensor signals from (2) spatially undersampled sensor arrays, resulting in faster data acquisition and reduced data sets without any loss in damage detection ability. In addition, a graphical user interface helps guide and visualize the associated data reconstruction process.

Abstract: Described herein are Compressive Sensing algorithms developed for automated reduction of NDE/SHM data from pitch-catch ultrasonic guided waves as well as a methodology using Compressive Sensing at two stages in the data acquisition and analysis process to detect damage: (1) temporally undersampled sensor signals from (2) spatially undersampled sensor arrays, resulting in faster data acquisition and reduced data sets without any loss in damage detection ability.

Abstract: Described herein are Compressive Sensing algorithms developed for automated reduction of NDE/SHM data from pitch-catch ultrasonic guided waves as well as a methodology using Compressive Sensing at two stages in the data acquisition and analysis process to detect damage: (1) temporally undersampled sensor signals from (2) spatially undersampled sensor arrays, resulting in faster data acquisition and reduced data sets without any loss in damage detection ability.

Abstract: Described herein are Compressive Sensing algorithms developed for automated reduction of NDE/SHM data from pitch-catch ultrasonic guided waves as well as a methodology using Compressive Sensing at two stages in the data acquisition and analysis process to detect damage: (1) temporally undersampled sensor signals from (2) spatially undersampled sensor arrays, resulting in faster data acquisition and reduced data sets without any loss in damage detection ability.

Abstract: A networked configuration of structural health monitoring elements. Monitoring elements such as sensors and actuators are configured as a network, with groups of monitoring elements each controlled by a local controller, or cluster controller. A data bus interconnects each cluster controller with a router, forming a networked group of “monitoring clusters” connected to a router. In some embodiments, the router identifies particular clusters, and sends commands to the appropriate cluster controllers, instructing them to carry out the appropriate monitoring operations. In turn, the cluster controllers identify certain ones of their monitoring elements, and direct them to monitor the structure as necessary. Data returned from the monitoring elements is sent to the cluster controllers, which then pass the information to the router. Other embodiments employ multiple sensor groups directly connected to a central controller, perhaps with distributed local control elements. Methods of operation are also disclosed.

Abstract: Methods and apparatus for reducing crosstalk in a structural health monitoring system. A pair of actuator input signals are sent to an actuator, each resulting in the transmission of stress waves to a corresponding sensor. The sensor then converts these stress waves to a pair of output signals, each having a crosstalk portion due to electromagnetic interference from the input signals to the actuator, and a stress wave portion corresponding to the stress waves. Various methods of varying the actuator input signals, the input to the actuator, and the output of the sensor result in two output signals that can be combined so as to reduce the crosstalk portions and isolate the stress wave portions. This allows actuators and sensors to be placed sufficiently close together that the stress wave portions of sensor output signals can overlap their crosstalk, without corrupting or otherwise compromising the data contained therein.

Abstract: Use of a single line for switching multiple monitoring elements on/off, and a single line for sending signals to, or receiving signals from, those elements that are switched on. Monitoring elements each have an associated switching element, and each switching element is connected to a common switching line, or control line. A signal from the control line turns each switch on or off. Each monitoring element is also connected to a single signal line, and only those monitoring elements that are turned on can transmit/receive data signals along this signal line.

Abstract: A sensor array embedded within a flexible layer. The sensors, which can be transducers, are controlled by local electronics also embedded within the flexible layer. The invention includes numerous different arrangements of these electronic controllers and their associated transducers. For example, each transducer can have its own controller embedded nearby. Alternatively, one controller can control a number of transducers, and can therefore be embedded in various configurations proximate to one or more of the transducers it controls. The controllers can include various components that impart other advantages, such as wireless transceivers for reducing the number of wires needed within the flexible layer, and local processors for reducing or eliminating the need for a remote data processor.

Abstract: A sensor/actuator network configured with a number of electrically-interconnected elements. More specifically, the sensors/actuators are each placed in electrical communication with the same transmission line. Various embodiments of such networks employ sensors/actuators connected in electrical series and in electrical parallel. Networks having these configurations, when placed upon a structure, are capable of detecting and/or transmitting stress waves within the structure so as to detect the presence of an impact, or actively query the structure. Advantageously, as these networks employ a single transmission line, they utilize fewer wires than current sensor/actuator networks, thus making them easier to install and maintain. They can also be configured as flexible layers, allowing for further ease of installation and maintenance.

Abstract: A sensor network is attached to a structure and employed to detect and analyze load changes. The sensor network has transducers, capable of acting as both passive sensors and active actuators, integrated within it. In a passive mode, the transducers detect load changes upon the structure, such as impacts. Upon detection of a load change, the transducers are engaged in an active mode to actively scan the impact area to determine the location and size of any resulting damage region. In this manner, passive and active systems are integrated within a single, convenient layer that possesses the best features of both active systems and passive systems.