Abstract: A vibration data collection system performs an integration or differentiation process on incoming digitized vibration data in real time. The system uses a digital Infinite Impulse Response (IIR) filter running at the input data rate to provide the integration or differentiation function. With this approach, the system reduces hardware complexity and data storage requirements. Also, the system provides the ability to directly integrate or differentiate stored time waveforms without resorting to FFT processing methods.

Abstract: A digital transducer provides a digital output indicative of dynamic characteristics of machines and processes. The transducer sensors may be single-axis or multiple-axis accelerometers and other measurement sensors. The transducer may be hands-free and wireless in machinery monitoring applications. An integral magnetic mount assists with hands-free data collection. Digital data accumulated in transducer memory may be selectively decimated before or after transfer from the transducer to a remote analyzer. Wireless communications are used to upload measurement setups to the transducer and download data from the transducer to a handheld analyzer or remote computer. Analysis and interpretation of dynamic digital data streams are performed after data is downloaded.

Abstract: A vibration data collection system performs an integration or differentiation process on incoming digitized vibration data in real time. The system uses a digital Infinite Impulse Response (IIR) filter running at the input data rate to provide the integration or differentiation function. With this approach, the system reduces hardware complexity and data storage requirements. Also, the system provides the ability to directly integrate or differentiate stored time waveforms without resorting to FFT processing methods.

Abstract: A laser strobe tachometer combines a strobe light with a laser speed sensor. The ability of the laser sensor to accurately determine machine speed enables a synchronous strobe rate to be determined without user intervention. Having locked onto the turning speed, the stroboscope can “freeze” the motion of the shaft, thereby allowing an operator to observe locations, such as on a keyway, flat or screw head, for the optimum placement of the laser spot to generate a once-per-revolution tachometer pulse.

Abstract: A laser strobe tachometer combines a strobe light with a laser speed sensor. The ability of the laser sensor to accurately determine machine speed enables a synchronous strobe rate to be determined without user intervention. Having locked onto the turning speed, the stroboscope can “freeze” the motion of the shaft, thereby allowing an operator to observe locations, such as on a keyway, flat or screw head, for the optimum placement of the laser spot to generate a once-per-revolution tachometer pulse.

Abstract: A vibration data collection system performs an integration or differentiation process on incoming digitized vibration data in real time. The system uses a digital Infinite Impulse Response (IIR) filter running at the input data rate to provide the integration or differentiation function. With this approach, the system reduces hardware complexity and data storage requirements. Also, the system provides the ability to directly integrate or differentiate stored time waveforms without resorting to FFT processing methods.

Abstract: A vibration data collection system performs an integration or differentiation process on incoming digitized vibration data in real time. The system uses a digital Infinite Impulse Response (IIR) filter running at the input data rate to provide the integration or differentiation function. With this approach, the system reduces hardware complexity and data storage requirements. Also, the system provides the ability to directly integrate or differentiate stored time waveforms without resorting to FFT processing methods.

Abstract: A digital transducer provides a digital output indicative of dynamic characteristics of machines and processes. The transducer sensors may be single-axis or multiple-axis accelerometers and other measurement sensors. The transducer may be hands-free and wireless in machinery monitoring applications. An integral magnetic mount assists with hands-free data collection. Digital data accumulated in transducer memory may be selectively decimated before or after transfer from the transducer to a remote analyzer. Wireless communications are used to upload measurement setups to the transducer and download data from the transducer to a handheld analyzer or remote computer. Analysis and interpretation of dynamic digital data streams are performed after data is downloaded.

Abstract: A vibration data collection system performs an integration or differentiation process on incoming digitized vibration data in real time. The system uses a digital Infinite Impulse Response (IIR) filter running at the input data rate to provide the integration or differentiation function. With this approach, the system reduces hardware complexity and data storage requirements. Also, the system provides the ability to directly integrate or differentiate stored time waveforms without resorting to FFT processing methods.

Abstract: A vibration data collection system performs an integration or differentiation process on incoming digitized vibration data in real time. The system uses a digital Infinite Impulse Response (IIR) filter running at the input data rate to provide the integration or differentiation function. With this approach, the system reduces hardware complexity and data storage requirements. Also, the system provides the ability to directly integrate or differentiate stored time waveforms without resorting to FFT processing methods.

Abstract: A vibration data collection system performs an integration or differentiation process on incoming digitized vibration data in real time. The system uses a digital Infinite Impulse Response (IIR) filter running at the input data rate to provide the integration or differentiation function. With this approach, the system reduces hardware complexity and data storage requirements. Also, the system provides the ability to directly integrate or differentiate stored time waveforms without resorting to FFT processing methods.

Abstract: A low power vibration sensor and wireless transmitter system has one or more sensors that sense parameters of a machine including vibration and produces dynamic signals representing the sensed parameters. The system converts the signals to a digital format, digitally filters the signals, and processes the signals. A processor determines a plurality of levels, which represent the characteristics of the signal such as the peak value of a predetermined set of data points of the digital signal. Together, the levels comprise a PeakVue waveform. The processor determines the peak level value for the PeakVue waveform. Also, a true root-mean-square is calculated as the signal is received at the processor. The peak level and the RMS value are communicated wirelessly by a communication module to a control protocol network such as a daisy chain HART or Fieldbus protocol network. The system power supply and the communication module power supply are separate and allow for low power operation.

Abstract: A low power vibration sensor and wireless transmitter system has one or more sensors that sense parameters of a machine including vibration and produces dynamic signals representing the sensed parameters. The system converts the signals to a digital format, digitally filters the signals, and processes the signals. A processor determines a plurality of levels, which represent the characteristics of the signal such as the peak value of a predetermined set of data points of the digital signal. Together, the levels comprise a PeakVue waveform. The processor determines the peak level value for the PeakVue waveform. Also, a true root-mean-square is calculated as the signal is received at the processor. The peak level and the RMS value are communicated wirelessly by a communication module to a control protocol network such as a daisy chain HART or Fieldbus protocol network. The system power supply and the communication module power supply are separate and allow for low power operation.

Abstract: An apparatus for delooping fibers in a fluid flow preferably includes a cyclone for receiving entities from a fiber individualizer and delivering individual fibers to a sensor. The fluid flow rate to the cyclone is set to optimize operation of the individualizer and the flow rate from the cyclone is set to optimize operation of the sensor. A nozzle is provided in the sensor for mechanically delooping the fibers so they are sensed in a straight condition. In addition, electronics associated with the sensor detects sensor signals corresponding to looped fibers and electronically “deloops” the fibers to produce data, such as the actual length of a fiber that was presented to the sensor in a looped condition.

Abstract: An apparatus and method for monitoring and processing a web of textile materials which includes a plurality of entities including fibers, neps, seed coat fragments and trash. The web is monitored, preferably by an imaging unit, to produce a monitor signal. A computer receives the monitor signal and locates the position of entities of interest and controls a web processor in accordance with the location of the entities. Preferably, the web processor includes ejectors for ejecting entities from the web under the control of the computer. In one embodiment, the web is formed by a sampler and forming apparatus which removes a sample of fibers from a supply and reconfigures it into a desired configuration, such as a web, for being monitored.

Abstract: An apparatus and method for measuring characteristics of entities in a sample of textile material, including trash, provides a sample of textile material to a processor where entities are individualized and thereafter transported to a sensor system. Characteristic signals are generated by the sensor signal corresponding to sensed characteristics of the entities, including trash, and a computer analyzes the characteristic signals to identify signals corresponding to trash and to classify the trash signals as corresponding to one of several types of trash. Based on the characteristic signals, the computer determines an entity length, diameter and speed and also determines a peak value of a characteristic signal corresponding to an entity. Based on these measurements, trash is characterized as to one of several types of trash.

Abstract: An apparatus monitors a web of textile material which is also processed by a textile processing machine. The web is in motion relative to an imaging unit, and the imaging unit repetitively scans at least one strip across the web in a direction substantially perpendicular to the direction of relative motion of the web. A computer receives signals from the imaging unit and produces digital data corresponding thereto. The computer further analyzes the digital data to find entities of interest in the web and determines parameters of the found entities of interest. Preferably, the imaging unit and computer include distinguishing means for producing a plurality of optical images of the same portion of the web where each of the optical images are distinguished one from the others by the spectral content. In addition, the imaging unit and computer produce a plurality of time separated images, where each of the time separated images are produced during different lighting conditions on the web.

Abstract: A testing apparatus includes a receiver for holding a plurality of textile samples and an automatic feed mechanism disposed adjacent to the receiver for selectively engaging and removing samples from the receiver and transporting them to a processor where the textile material is processed to produce textile entities in an individualized condition. The entities are then transported to a sensor that produces signals corresponding to characteristics of the entities. A control means detects the presence or absence of a sample in the automatic feed mechanism and controls it accordingly. Analog and digital components analyze the characteristic signals to identify segments of the characteristic signals that correspond to neps, trash and fibers.

Abstract: Method and Apparatus for measuring and classifying individual neplike entities in a textile fiber sample is disclosed. The apparatus includes a fiber sample processor which takes a supply of fiber samples, separates and individualizes the individual entities of the fiber sample and provides the individualized entities to an airflow. The airflow directs the entities through a sensor volume which utilizes electro optical sensors to generate characteristic signals corresponding to the entity passing through the sensor volume. These signals are then analyzed to determine if the entity passing through the sensing volume was a nep and further classify neps by their type. Thus, a neplike entity could be classified as either a polyester nep, a fiber nep or a seed coat fragment and further may be classified as a mature entity or an immature entity.

Abstract: An apparatus for delooping fibers in a fluid flow preferably includes a cyclone for receiving entities from a fiber individualizer and delivering individual fibers to a sensor. The fluid flow rate to the cyclone is set to optimize operation of the individualizer and the flow rate from the cyclone is set to optimize operation of the sensor. A nozzle is provided in the sensor for mechanically delooping the fibers so they are sensed in a straight condition. In addition, electronics associated with the sensor detects sensor signals corresponding to looped fibers and electronically "deloops" the fibers to produce data, such as the actual length of a fiber that was presented to the sensor in a looped condition.