Machine condition monitoring, information

Machine condition monitoring system These systems collect information via vibration sensors, to analyse bearings, and drive components. Advanced systems... 

Electric motors are the most common source of motive power for machine-trains. As a result, more of them are evaluated using microprocessor-based vibration monitoring systems than any other driver. The vibration frequencies of the following parameters are monitored to evaluate operating condition. This information is used to establish a database. 

Lubricant Sampling and Analysis The routine analysis of lubricants is a vital condition-monitoring program element, providing information on the health of the lubricant, contaminant ingression, and machine condition. 

RFS is an important enhancement to standard RDE analysis. It provides new information on the condition of the machine being monitored by expanding the particle detection capability of the RDE technique. Sometimes it is also used to screen samples to determine if more time consuming analysis, such as ferrography, is required. 

Process condition monitoring system (sometimes also called technological monitoring system) These systems collect information from QCS sensors, vibration sensors, pressure sensors, triggers at rolls and fabrics, etc. to analyse the reasons for periodic quahty disturbances. AU collected signals are taken simultaneously with sample rates from 100 Hz to 4 kHz, depending on sensor type and application. The required measurement frequency is given by the revolution time of the machine elements which can cause quality variations, like felts, rolls, pumps, etc. 

While mechanistic models of plastic flow consider simple shear or pure shear (extensional flow where mean normal stress is absent), in experiments fundamental shear information may need to be extracted from more complex 3D flow fields. This is done through the use of multi-axial flow formalisms that are based on the von Mises approach of relating the 3D response to an equivalent ID response described in Chapter 3. In this formalism the deviatoric shear response of the multi-axial field of stress and plastic strain is taken to represent shear flow in the mechanistic context where the effect of the accompanying mean normal stress is considered through its effect on the plastic resistance. There exists an experimental procedure for extracting deviatoric plastic-response information from a tensile-flow field that accomplishes this through the use of specially contoured bars with pre-machined neck regions where the concentrated extensional flow is monitored under conditions of imposed constant deviatoric strain rates (G Sell et al. 1992). 

To imitate the human miner, robotic researchers must create a smart drill that can recreate and even enhance a human s senses. Ideally, researchers project By placing monitoring instruments on the drill of a roof-bolting machine, these senses can be regained and even enhanced to collect more precise information about conditions in the immediate roof strata. ... 

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