Condition monitoring is implementation of the advanced diagnostic
techniques to reduce downtime and to increase the efficiency and reliability.
The research is for determining the usage of advanced techniques like Vibration
analysis, Oil analysis and Thermography to diagnose ensuing problems of the
Plant and Machinery at an early stage and plan to take corrective and preventive
actions to eliminate the forthcoming breakdown and enhancing the reliability of
the system. Nowadays, the most of the industries have adopted the condition
monitoring techniques as a part of support system to the basic maintenance strategies.
Major condition monitoring technique they follow is Vibration Spectrum
Analysis, which can detect faults at a very early stage. However implementation
of other techniques like Oil analysis or Ferrography, Thermography etc. can
further enhance the data interpretation as they would detect the source of abnormality
at much early stage thus providing us with a longer lead time to plan and take
the corrective actions. In Large Captive Power Plants and Aluminium Smelters,
Integrated Condition Monitoring techniques play an important role as stoppage
of primary system and its auxiliaries (boiler, steam turbine, generator, coal and
ash handling plants etc.) results into the stoppage of the entire plant, which in turn
leads to loss of productivity. From economical and operational point of view, it is
desirable to ensure optimum level of system availability. 相似文献
This Letter reports the novel use of poly(9‐vinylcarbazole) (PVK) as a dielectric interfacial layer for n‐type organic field‐effect transistors (n‐OFETs). With PVK, both the air stability and electron mobility of N,N′‐ditridecylperylene‐3,4,9,10‐tetracarboxylic diimide (PTCDI‐C13)‐based OFETs were improved. Among the PVKs with different weight‐average molecular weight (Mw), PVK with high Mw showed good performance. The high glass transition temperature of PVK enabled thermal post annealing of the active layer, which resulted in a high electron mobility of 0.61 cm2/Vs. This mobility was maintained at 90% and 59% after 4 days and 105 days in air, respectively. The PVK interfacial layer reduced the trapped charges in the PTCDI‐C13‐based n‐OFET for air‐exposure and caused a decrease in the threshold voltage shift.
In this paper, we present a new method for the automated detection of sperm whale regular clicks and creaks based on statistical computations. In the first stage, a spectrogram is computed from the input waveform, followed by a noise normalisation process. A frequency domain filter is then applied, and the energy accumulated in each time frame is calculated. Two-second time-windows are then classified as containing either regular clicks, creaks, or noise based on statistical parameters using a neural network classifier. Finally, previously obtained statistical parameters are used to implement an energy-based detection criterion for the classified time-windows. Individual regular clicks and creaks are isolated by linking contiguous detected time frames. The proposed method was tested on five recordings of sperm whale sounds. Comparison of the detection performances to hand-labelled regular clicks and creaks revealed that this method outperforms two recently reported waveform-based methods when working with the same recordings files. An average percentage of detection of 86.97% was attained for the set of files. This method consumes also little computation time. 相似文献
