The HI-TECH C Compiler has been discontinued and is no longer supported. Some years ago Microchip purchased HI-TECH and has incorporated much of their technology into the new families of MPLAB XC Compilers. Older versions of MPLAB 8.xx do include the HI-TECH Compiler as part of the installation. There is also a HI-TECH software archive for the compiler.
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Regarding the specific target application of our system, which is performing multichannel vibration and impact tests in mechanical engineering, many other previous works describe DAQs for inertial units based on Microelectromechanical Systems (MEMS) technology, piezoelectric accelerometers and incremental quadrature encoders. For example, fatigue-induced crack diagnostics in gears is studied in [3] by means of quadrature encoders read through off-the-shelf National Instruments DAQ boards. Only one sensor type is employed in those tests, hence the lack of discussion about the synchronization of different sensor types. In [4], two biaxial MEMS accelerometers (ADXL210) are sampled with a commercial DAQ (Biomedical Monitoring BM42) at 1 kS/s, apparently without simultaneous sampling of all channels.
Centrifugal booster fans are important equipment used to recover blast furnace gas (BFG) for generating electricity, but blade crack faults (BCFs) in centrifugal booster fans can lead to unscheduled breakdowns and potentially serious accidents, so in this work quantitative fault identification and an abnormal alarm strategy based on acquired historical sensor-dependent vibration data is proposed for implementing condition-based maintenance for this type of equipment. Firstly, three group dependent sensors are installed to acquire running condition data. Then a discrete spectrum interpolation method and short time Fourier transform (STFT) are applied to preliminarily identify the running data in the sensor-dependent vibration data. As a result a quantitative identification and abnormal alarm strategy based on compound indexes including the largest Lyapunov exponent and relative energy ratio at the second harmonic frequency component is proposed. Then for validation the proposed blade crack quantitative identification and abnormality alarm strategy is applied to analyze acquired experimental data for centrifugal booster fans and it has successfully identified incipient blade crack faults. In addition, the related mathematical modelling work is also introduced to investigate the effects of mistuning and cracks on the vibration features of centrifugal impellers and to explore effective techniques for crack detection. PMID:27171083
In this paper, CuIn xGa (1-x) (CIGS) mini-modules are stressed under reverse bias, resembling partial shading conditions, to predict and characterize where failures occur. Partial shading can cause permanent damage in the form of 'wormlike' defects on thin-film modules due to thermal runaway. This results in module-scale power losses. We have used dark lock-in thermography (DLIT) to spatially observe localized heating when reverse-bias breakdown occurs on various CIGS mini-modules. For better understanding of how and where these defects originated and propagated, we have developed techniques where the current is limited during reverse-bias stressing. This allows for DLIT-based detection and detailedmore studying of the region where breakdown is initiated before thermal runaway leads to permanent damage. Statistics of breakdown sites using current-limited conditions has allowed for reasonable identification of the as-grown defects where permanent breakdown will likely originate. Scanning electron microscope results and wormlike defect analysis show that breakdown originates in defects such as small pits, craters, or cracks in the CIGS layer, and the wormlike defects propagate near the top CIGS interface. less
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