Abstract: In a method for creating and managing personal medical records a request for health care information is sent to a third-party payer, and health care information is received from the third-party payer and used to create received health care information. A patient profile identifies the types of health care information the patient wishes to obtain and save, and the received health care information is processed based on the patient profile to produce a result that includes one or more of (a) health care information that the patient wishes to save and was directly obtained from the received health care information, (b) the identity of health care information that was suggested to exist by the received health care information and that the patient wishes to save, but that was not contained within the received health care information. Based on the result, a web based computer or a patient's computer creates and manages personal medical records.

Abstract: A power supply comprises at least one transformer that is placed around an active power line and is connected through at least one power conditioning system to provide a conditioned power source for at least one electronic device. Power is generated by scavenging power from the power being supplied on the power line. An asset-monitoring apparatus comprises a sensor package in communication with a monitoring system and a power supply that generates power for the sensor package, the power supply including a transformer placed close to the power line powering the asset being monitored and a power conditioning system that conditions the power supply for use by the sensor package. An optional energy storage device may receive power from the power conditioning system and provide primary or backup power for the sensor package or other electronic device.

Abstract: A method is disclosed for acquisition and analysis of condition monitoring data. Alarm and alert limits are set to proper levels and information regarding the frequency and cause for alerts is collected. Analysis of the information may then be performed to provide a user with easily understandable representations of the system errors and suggested actions.

Abstract: A method is disclosed for acquisition and analysis of condition monitoring data. Alarm and alert limits are set to proper levels and information regarding the frequency and cause for alerts is collected. Analysis of the information may then be performed to provide a user with easily understandable representations of the system errors and suggested actions.

Abstract: A multi-axis vibration sensor with integral magnet optimizes sensor response in a non-permanently attachable package. In a preferred embodiment of the invention, the apparatus includes a housing having a magnet, a multi-axis vibration sensor for sensing vibration along multiple machine axes, and conditioning circuitry disposed within the housing. The magnet enables the apparatus to be placed in sensory contact with the machine. The vibration sensor senses machine vibration along multiple machine axes when the apparatus is in sensory contact with the machine, and the conditioning circuitry optimizes the frequency response of the vibration sensor by reducing the gain of the sensor output at resonance. The vibration sensor may be mounted directly to existing machine structure, such as the machine's outer casing. Two parallel feet facilitate stable mounting of the sensor curved surface. A keyed mounting pad may be employed to facilitate proper orientation of the sensor.

Abstract: A multi-axis vibration sensor with integral magnet optimizes sensor response in a non-permanently attachable package. In a preferred embodiment of the invention, the apparatus includes a housing having a magnet, a multi-axis vibration sensor for sensing vibration along multiple machine axes, and conditioning circuitry disposed within the housing. The magnet enables the apparatus to be placed in sensory contact with the machine. The vibration sensor senses machine vibration along multiple machine axes when the apparatus is in sensory contact with the machine, and the conditioning circuitry optimizes the frequency response of the vibration sensor in a preferred embodiment by reducing the gain of the sensor output at resonance. The vibration sensor may be mounted directly to existing machine structure, such as the machine's outer casing. Two parallel feet facilitate stable mounting of the sensor to a curved surface.

Abstract: An integral magnet vibration sensor apparatus optimizes sensor response in a non-permanently attachable package. In a preferred embodiment of the invention, the apparatus includes a housing having a magnet, a vibration sensor, and a conditioning circuit disposed within the housing. The magnet enables the apparatus to be magnetically attached to a machine. The vibration sensor senses machine vibration when the apparatus is attached to the machine, and the conditioning circuit optimizes the frequency response of the vibration sensor in a preferred embodiment by reducing the gain of the sensor output at resonance.

Abstract: A hand-held apparatus gathers and analyzes test data associated with rotating electric machines, where the test data is indicative of one or more operational characteristics of the mechanical equipment. The apparatus, which is operable to be carried by an operator from one machine to another along a test route, includes a sensor input port for receiving a sensor signal from a sensor, where the sensor signal is indicative of one or more operational characteristics of the rotating electric machines. The apparatus also includes a signal conditioning circuit for receiving the sensor signal, and for conditioning the sensor signal to produce a conditioned signal which is appropriate in format to be digitally processed. A processor, which is coupled to the signal conditioner, receives and processes the conditioned signal according to processing instructions and processing parameters to produce a test spectrum. The processing parameters determine one or more characteristics of the test spectrum.

Abstract: A portable digital ultrasonic monitoring system and method for use by an operator in detecting the ultrasonic waves and temperature variations produced by sources such as leaks in pipes, arcing, electrical corona and machinery defects is provided. The digital ultrasonic monitoring system includes a microprocessor based system in a hand held elongate housing that digitally analyzes and stores information received from its sensors. The digital ultrasonic monitoring system provides a referenced decibel output reading of the signal strength of the received ultrasonic signals. In addition, a heterodyned type audio signal that is related to the sensed ultrasonic signals is provided to the operator through a pair of headphones. The portable device has user input keys that allow the operator to select from a variety of different operating modes. A display displays a variety of different readings depending upon the operating mode of the device.

Abstract: The invention provides a computerized method and apparatus which enables a user, even one who has little or no predictive maintenance skills, to establish a predictive maintenance database that defines information needed to monitor equipment in accordance with a predictive maintenance plan. The type of equipment components to be monitored and associated physical characteristics of the components are input to a computer as an equipment configuration, which may include one or more interconnected components. The computer includes a knowledge base that defines relationships between monitoring practices, component types, and physical characteristic information for component types. A predictive maintenance database is constructed for the components using the inference engine operating on the knowledge base, the selected component type, and the selected physical characteristic information. Multiple measurement technologies may be specified for each component.

Abstract: A device detects an emission source of a vibration signal against a background of noise, where the vibration signal is produced by a mechanical system and has one or more frequency components. A sensor senses the vibration signal and produces a sensor signal corresponding to the vibration signal. The sensor has a mechanical frequency selection structure for mechanically resonating at desired frequencies and for mechanically attenuating a frequency component of the vibration signal having a frequency outside the desired frequencies. The mechanical frequency selection structure thus produces a mechanically-tuned sensor signal. Electrical frequency selection filters electrically attenuate a frequency component of the mechanically-tuned sensor signal having a frequency outside the desired frequencies. The electrical frequency selection filters thus produce an electrically-tuned sensor signal.

Abstract: An ultrasonic monitoring apparatus is provided for use by an operator in detecting ultrasonic vibrations and sound waves. The ultrasonic monitoring apparatus consists of a hand held device with a sensor socket that allows a variety of different types of sensors to be interchangeably installed in the hand held device. These sensors include both contact and airborne ultrasonic sensors as well as a combination temperature and ultrasonic sensor that allows the operator to simultaneously monitor the surface temperature of an object and the ultrasonic vibrations produced by the object. Identification information corresponding to the type of sensor is encoded on the individual sensors. The identification information is read by an identification circuit located in the hand held device. This identification information allows the hand held device to configure itself to operate with the type of sensor installed in the socket.

Abstract: A route based ultrasonic monitoring method for use by an operator in detecting when the ultrasonic sound produced by a device indicates the presence of a leak or machinery defect. The route based ultrasonic monitoring method uses a central processing location to store testing information concerning which machines to test and how to configure a portable ultrasonic sensing device to test them. At the appropriate time, the testing information is loaded from the central processing location into the portable processing and storage unit. The operator is then prompted by the portable processing and storage unit to proceed to a test location. Once at the test location, the portable processing and storage unit provides the testing information to the portable ultrasonic sensing device. The test is then performed by the operator with the portable ultrasonic sensing device and the test results are downloaded from the portable sensing device to the portable processing and storage unit.

Abstract: The invention provides a computerized method and apparatus which enables a user, even one who has little or no predictive maintenance skills, to establish a predictive maintenance database that defines information needed to monitor equipment in accordance with a predictive maintenance plan. The type of equipment components to be monitored and associated physical characteristics of the components are input to a computer as an equipment configuration, which may include one or more interconnected components. The computer includes a knowledge base that defines relationships between monitoring practices, component types, and physical characteristic information for component types. A predictive maintenance database is constructed for the components using the inference engine operating on the knowledge base, the selected component type, and the selected physical characteristic information. Multiple measurement technologies may be specified for each component.

Abstract: An apparatus and method for machine data collection includes a hand-held personal computer (HPC) having route-based machine information data stored therein, and at least one hand-held sensor unit which includes a sensor for sensing an operating characteristic of the machine. The sensor unit includes a microcomputer for controlling the overall operation of the sensor unit, and a wireless communications port for wirelessly communicating with the HPC and/or other peripheral device. Wireless communications between the HPC and the sensor unit include uploading route-based machine information and instructions from the HPC to the sensor unit, and downloading collected sensor data from the sensor unit to the HPC. Data may also be manually input to the HPC, including reading from control panels and process gauges. All LCD visually displays information and instructions to the operator, and a set of headphones aurally informs and instructs the operator with regard to data collection.

Abstract: A portable data collector and analyzer having multiple paths for performing multiple processing functions on a single sensor signal in parallel. The portable data collector has a sensor which creates a sensor signal that represents a measured property of an operating machine. The sensor signal is simultaneously sent to at least two processor channels that are connected in parallel. Each processor is capable of performing different types of signal analysis with varying signal conditioning and sampling rate requirements on the sensor signal independent of the other processor(s). An operator of the parallel processing data collector and analyzer places the single sensor on the area desired to be tested and instructs the parallel processing data collector to begin taking measurements. The parallel processor channels work independently of each other to obtain results corresponding to a number of different tests in approximately the time normally required to perform a single test.

Abstract: An efficient vibration data collection, analysis, and storage system automates the analysis of time waveform data and optimizes use of available memory and minimizes data collection time by parameterizing the time domain vibration waveform produced by a vibration transducer attached to a machine. Various parameters are calculated from the time domain waveform and compared to predetermined thresholds or other criteria representative of possible anomalous conditions within the monitored machine. When one or more anomaly criteria are met, an alarm is generated and the system automatically collects, or stores vibration data, which may include both the time waveform and frequency spectrum. Alternatively, the system may be programmed to conduct further analysis of the vibration data during an alarm condition prior to data storage. Preferably, time waveform data is stored only for machines that are in alarm, and the calculated parameters are stored for each machine regardless of the machine's condition.

Abstract: The disclosed invention senses a machine's vibration spectrum, converts the vibration signal into a frequency-domain vibration spectrum, and analyzes the vibration spectrum to generate a narrowband alarm limit envelope against which the vibration spectrum of a previously uncharacterized machine may be compared. The limit envelope is generated from the test vibration spectrum of the machine which is the subject of the test, thus providing a performance benchmark against which to compare the vibration level of the previously uncharacterized machine. A limit envelope is also generated from a test vibration spectrum which has been designated as a reference or baseline spectrum. Further, a limit envelope is generated based upon a mean spectrum which is generated by combining several test vibration spectra. A limit envelope is also generated based upon mean and standard deviation spectra when a statistically significant number of test spectra are available.

Abstract: The operational condition of a machine is evaluated when the machine's vibration spectrum deviates from an acceptable state, where an acceptable state is defined by an alarm limit envelope. The amplitude of individual peaks within the machine's vibration spectrum is compared to the alarm limit envelope, and a deviation severity value characterizing the severity of the machine's deviation from an acceptable state is determined for each deviating peak. The deviation severity value represents the severity of deviation when at least one individual peak within the machine's vibration spectrum exceeds the alarm limit envelope. The deviation severity value is obtained by determining the peak excess magnitude for each vibration peak, where the peak excess magnitude is the amount by which the amplitude of each deviating vibration peak exceeds the alarm limit envelope level. The peak excess magnitude is then normalized by a frequency-dependent normalization factor.

Abstract: A method of determining the rotational speed of a rotating shaft from machine vibration data. The vibration produced by the shaft is sensed to produce a test vibration signal at an unknown rotational speed of the shaft, which test vibrational signal is converted to a test frequency spectrum. A reference frequency spectrum, corresponding to a known rotational speed of the shaft, is provided, and a stretch factor is determined. The stretch factor provides optimum correlation between the test frequency spectrum and the reference frequency spectrum. The unknown speed of the rotating shaft is calculated using the known speed of the reference frequency spectrum and the stretch factor.