Abstract: Systems and Methods are disclosed for the detection and imaging of ultrasonic energy. Embodiments of the invention utilize an array of ultrasonic sensors where data from each of the sensors are processed by RMS-to-DC conversion. In addition, embodiments of the invention output a contour map based on detected ultrasonic energy and blend at least one feature of the contour map with a feature of a visible image so that a blended image can be displayed to an operator. Furthermore, embodiments of the invention provide a system and method for repositioning an array of ultrasonic sensors with respect to target area or Unit Under Test (UUT) to facilitate a thorough and repeatable test.

Abstract: A method for analyzing the use of a work machine is disclosed. In one embodiment, the method may include providing a computer with a neural network on the work machine. Further, the method may include inputting data to the computer, at least a portion of the data associated with a load experienced by one of the components of the work machine. The neural network, when executed by the computer may then classify a current operation of the work machine into one of a plurality of types of operations.

Abstract: Methods and systems for constructing a load history database for a structure is disclosed. In one embodiment, a method is disclosed that may include detecting a measurable parameter on the structure utilizing a sensor positioned on the structure and determining a value of external loads acting upon the structure based on the detected parameter. Further, the method may include evaluating the value of the external loads against a pre-established factor. Based on the evaluation, the value of the external loads are selectively stored in the load history database.

Abstract: A method and method of estimating fatigue life of a structure is disclosed. In one embodiment, the method may include determining strain on the structure using a plurality of gauges positioned on the structure. The method may also include detecting a parameter of the structure with a plurality of sensors positioned on the structure. Further, the method includes converting the detected parameter and the determined strain to proportional loads acting on the structure and transforming the proportional loads to coordinate system data associated with the structure. Based on the coordinate system data, the fatigue life of the structure may be estimated.

Abstract: A system and method for detecting and analyzing anomalies in a machine during operation. The system and method includes at least one sensor configured to detect characteristics of the machine indicative of machine vibration, at least one other sensor configured to detect characteristics of the machine indicative of other than machine vibration, a plurality of neural networks to receive input data, at least one neural network receiving vibration data from the at least one sensor, and at least one other neural network receiving non-vibration data from the at least one other sensor, and an expert system to receive output data from the neural networks and responsively analyze machine operation for anomalies.

Abstract: A system and method for detecting and analyzing anomalies in a machine during operation. The system and method includes at least one sensor associated with a component on the machine, a transducer configured to be positioned about the component, and a test station for receiving signals from the at least one sensor and the transducer, and correlating the signals to determine a source of an anomaly.

Abstract: The present invention includes a system and method configured to analyze a performance of a product. The product has associated process and performance characteristics. The method includes the steps of establishing a plurality of process characteristics associated with the product, establishing an analysis relationship between the process characteristics and the performance characteristic, and analyzing the performance characteristic of the product in response to the relationship.