Patent application number | Description | Published |
20080253229 | METHODS AND APPARATUS FOR EXTRACTING FIRST ARRIVAL WAVE PACKETS IN A STRUCTURAL HEALTH MONITORING SYSTEM - Methods and apparatus for extracting the first arrival wave packet of an acoustic signal in a structural health monitoring (SHM) system include receiving an acoustic signal transmitted between two transducers thereof. Electromagnetic cross-talk is removed from the signal. Signal amplitude threshold values used for picking out the first arrival wave packet are chosen based on signal characteristics or chosen adaptively as the value that leads to the minimum variance of the group velocity estimates of all the actuation-sensing transducer pairs. The group velocity is estimated as the known actuator-sensor distance divided by the propagation time of the first wave packet of which the envelope exceeds a candidate threshold value. The first arrival wave packet is determined as the signal segment where the signal envelope first exceeds the chosen amplitude threshold and the segment length exceeds a specified threshold of time width. | 10-16-2008 |
20080253231 | FUNCTIONAL ACTUATOR-SENSOR PATH OPTIMIZATION IN STRUCTURAL HEALTH MONITORING SYSTEM - A method for optimizing transducer performance in an array of transducers in a structural health monitoring system includes specifying a plurality of paths between pairs of the transducers on a monitored structure and evaluating the quality of signal transmissions along the paths so as to optimize the gain and frequency operating condition of the transducers. | 10-16-2008 |
20080255771 | ROBUST DAMAGE DETECTION - A method of improving damage detection in a structural health monitoring system includes obtaining a baseline set of signals corresponding to a range of values of an environmental effect variable for a plurality of first selected paths between pairs of a plurality of transducers configured in an array attached to a structure. Threshold levels are established for each of the selected paths for determining detection of damage in the structure based on differences in the baseline set of signals for the selected path. A current signal is acquired for each of the selected paths. The plurality of current signals are analyzed based on the threshold levels to detect damage in the structure. | 10-16-2008 |
20080255774 | DYNAMIC ENVIRONMENTAL CHANGE COMPENSATION OF SENSOR DATA IN STRUCTURAL HEALTH MONITORING SYSTEMS - A method for adjusting signal data detected in a structural health monitoring (SHM) system to compensate for the effects of environmental variables acting thereon includes constructing a baseline data space comprised of sets of signal data. Current signal data sets are collected for comparison to the baseline data space. The collected current signal data sets are amended to best match baseline signal data sets in the baseline data space. A set of indices are computed for comparing the amended current signal data set to the baseline signal data sets. A threshold for detection is determined by outlier detection for the computed indices. A signal in the collected signal data set is determined to be detected on the basis of the threshold. A representation of the detected signal strength is provided on the basis of the computed indices. | 10-16-2008 |
20080255775 | ENVIRONMENTAL CHANGE COMPENSATION IN A STRUCTURAL HEALTH MONITORING SYSTEM - A method and system of compensating for environmental effect when detecting signals using a structural health monitoring system includes collecting baseline data signals for one or more values of the environmental effect variable from signals transmitted along selected paths between transducers in an array attached to the structure. A threshold is selected based on the baseline data for determining if the signal is detected. Current data signals are collected and matched to the best fit baseline data. The value of the environmental effect variable is determined on the basis of the matching. A signal is detected according to the selected threshold. | 10-16-2008 |
20080255776 | METHOD FOR CALCULATING PROBABILISTIC DAMAGE SIZES IN STRUCTURAL HEALTH MONITORING SYSTEMS - A method for calculating the probable damage size in a structure includes defining a configuration of an array of transducers mounted on the structure. Any pair of the transducers includes an actuator and a sensor, and each pair defines a propagation path in the structure. All propagation paths that are affected by being touched by a damage of the structure, and all adjacent paths that are untouched and thereby unaffected by the damage, are identified. A range of sizes of the damage is determined, and a probability density of the damage versus damage size is calculated on the basis of the transducer array configuration and the affected and unaffected propagation paths identified. On the basis of the probability density, a most probable damage size is determined, and the probability of the damage being greater or less than the most probable damage size is also determined. | 10-16-2008 |
20080255777 | OPTIMAL SENSOR LOCATION FOR DAMAGE DETECTION - A method for determining optimal locations of a plurality of sensors for damage detection in a structural health monitoring system includes providing a one or more signal performance characteristics, spatial parameters describing a layout of a structure, and generating a layout for the plurality of sensors according to the signal performance characteristics and the spatial parameters. An estimated largest critical damage size that may not be detected by sensors arranged according to the first layout is determined. The layout is edited so as to reduce the estimated largest critical damage size to be less than or equal to a selected maximum size requirement. | 10-16-2008 |
20080255778 | DETECTING DAMAGE IN METAL STRUCTURES WITH STRUCTURAL HEALTH MONITORING SYSTEMS - A method useful in structural health monitoring (SHM) systems for detecting damages in metal structures includes extracting the zero-order symmetric and anti-symmetric mode signal components from each of a plurality of current sensor signals of an array of transducers mounted on the structure, matching the extracted signal components with corresponding signal components of a plurality of baseline sensor signals previously detected in the structure, computing respective indices I | 10-16-2008 |
20080255781 | TRANSDUCER ARRAY SELF-DIAGNOSTICS AND SELF-HEALING - A method of performing transducer self-diagnostics and self-healing on an array of sensor transducers bonded to a structure for health monitoring includes measuring impedance to detect whether a transducer is missing, or a connection is damaged. Pitch-catch signals generated between one or more pairs of transducers are analyzed for detecting defects according to selected criteria of defect size and location to determine whether the sensors are damaged or partially/fully disbanded. Based on the resulting map of operational transducers, signal transmission paths are added/extended between additional pairs of transducers to maintain inspection coverage of the structure according to the selected criteria. | 10-16-2008 |
20080255803 | DETECTABLE DEFECT SIZE AND PROBABILITY-OF-DETECTION - Predicting the probability of detection of major and minor defects in a structure includes simulating a plurality of N defects at random locations in a region specified by an array of transducers. Defect size is incremented until it intersects one path between two transducers. The defect size is again incremented until it intersects two or more adjacent paths between pairs of transducers. The number of major defects up to a selected size is determined by the total number of single path intersections by defects up to the selected size. The number of minor defects up to a selected size is determined on the basis of the total number of defects intersecting two or more paths up to the selected size. The probability of detection up to a selected size is the cumulative number of major or minor defects up to the selected size normalizing by N. | 10-16-2008 |
20090217761 | METHOD AND APPARATUS FOR CONDUCTING STRUCTURAL HEALTH MONITORING IN A CRYOGENIC, HIGH VIBRATION ENVIRONMENT - Sensors affixed to various such structures, where the sensors can withstand, remain affixed, and operate while undergoing both cryogenic temperatures and high vibrations. In particular, piezoelectric single crystal transducers are utilized, and these sensors are coupled to the structure via a low temperature, heat cured epoxy. This allows the transducers to monitor the structure while the engine is operating, even despite the harsh operating conditions. Aspects of the invention thus allow for real time monitoring and analysis of structures that operate in conditions that previously did not permit such analysis. A further aspect of the invention relates to use of piezoelectric single crystal transducers. In particular, use of such transducers allows the same elements to be used as both sensors and actuators. | 09-03-2009 |
20090276168 | METHOD AND APPARATUS FOR LOOSENING OF FASTENERS ON STRUCTURES - Methods and apparatuses for detecting fastener loosening. Sensors query a structure at a baseline value of an environment variable, such as temperature, and this baseline signal is stored for later use. Subsequently, users can query the structure remotely and at any time, and the signals from these queries are compared to the stored baseline signal. In some embodiments, an index is calculated, and the system determines that one or more fasteners have come loose if the calculated index exceeds a predetermined threshold value. It is desirable to select a time window within which the query signal is most sensitive to fastener loosening but least sensitive to variations in the environment variable. Accordingly, embodiments of the invention include methods and apparatuses for determining an optimal time window for use in calculating the above described index. | 11-05-2009 |
20110040496 | METHOD AND APPARATUS FOR ESTIMATING DAMAGE IN A STRUCTURE - Detecting damage in a structure without comparing sensor signals to a baseline signal. Once a structure is interrogated, a process based on a Gaussian Mixture Model is applied to the resulting data set, resulting in quantities for which Mahalanobis distances and Euclidian distances can be determined. A damage index is then determined based on the calculated Euclidian distance. A high value of this damage index coupled with an abrupt change in Mahalanobis distance has been found to be a reliable indicator of damage. Other embodiments may employ a baseline, but determine damage according to ratios of energy values between current and baseline signals. | 02-17-2011 |