Efficiency checking

Switch off (or bypass) the gas flow snch that the flow-rate remains the same on re-opening the flow. Consistency of the flow-rate is necessary to obtain accnrate comparisons of flotation efficiency. Check this by re-measnring the flow-rate. 

Efficiency check. HETP data will be compared with the calculated HETP (Sec. 9.4.4). Table 11.1 is searched for efficiency data on columns in similar service that contain random packings. The following data, extracted from Table 11.1 are relevant ... 

Revision to design following cheche. The only design revision required following the above checks is for bed heights, due to the change in HETP (see Efficiency Check above). 

The system finally performs an efficiency check After closure of corrective actions of a systematic exception, the same exception is not allowed to occur for a defined period of time otherwise, the system will not allow complete closure of this exception processing. A systematic exception reqnires links to correction and corrective actions previonsly occurred exceptions that is, the information is entered only at first exception bnt appears at all linked exceptions. 

Efficiency checks are performed in regular intervals after the exception occurred. These checks are based on the expected outcome of a process where the exception occurred and either are of simple binary nature or incorporate measures of deviation that allow the next occurrence of the exception to be predicted. Exception may be closed either manually or automatically. Manual closure is performed by a responsible person and requires appropriate statements for reasoning. Automatic closure is usually defined with a time interval in which the exception is not allowed to recur. The handling of exceptions usually requires changes in predefined procedures. In regulated environments, these changes have to be requested and approved before they can take place. 

Once the spectrometer has been set up, a maintenance schedule should be defined so that various adjustments are checked on a regular basis at appropriate intervals. For example, the DC offset and pole-zero settings might be checked on a quarterly basis but the energy calibration checked on a daily basis. The ANSI document recommends efficiency and resolution checks on a daily or weekly basis. An efficiency check on a daily basis does seem rather enthusiastic, but in such matters, it is wise to err on the side of too frequent rather than seldom. If efficiency is monitored simply by measuring a check sample, there should be little problem. 

Independent of how the internal failure modes are merged and what other abstraction algorithms are applied, the mapping between the realization and the specification must be specified as part of the realization. Additionally, the kind of relation must be specified as part of the specification. Only in this way is it possible to guarantee traceability and to check if the assumed relation between failure realization and specification is true. For example, if modularization is used, the internal modules of the failure realization and the corresponding internal failure modes of the specification must be known in order to check equivalence. This is also true if the internal failure modes are only renamed from the realization to the specification. To efficiently check the equivalence or other qualitative relations between failure specification and realization. Binary Decision Diagrams (BDDs) are used. 

Another significant benefit of a LIMS is the improvement of the overall quaUty of the laboratory. In the case of a laboratory, quaUty is defined as satisfying customer needs in the areas of accuracy, reUabiUty, clarity, and timeliness of analytical information. LIMS can enhance quaUty in a number of ways, eg, in checking conformance to requirements, in organizing and prioritizing work to ensure timeliness, in measuring laboratory performance in areas of technical quaUty and efficiency so as to provide continuous improvement, and in helping the laboratory to communicate clearly, completely, and consistendy (16). 

Is there a program to monitor turbine efficiency by checking temperatures in and out ... 

Sediment. Sediment is most commonly used as an operational check of filter efficiency and leakage, although some customers, especially those who iatend to melt the sugar iato clear solutions, write sediment restrictions. The measurement is normally done by passiag the 50% solution used for the color determination through a half black—half white filter pad and visually counting the white and black specks. 

Expander performance will shift as plant conditions—such as gas flowrate, gas inlet, and discharge pressure—gas composition, and inlet temperature change. Calculation of expander diermal efficiency from field data is not accurate because expander discharge flow normally consists of two phases, gas and liquid. Efficiency calculations should always be cross-checked with the shaft power produced before any decision on expander performance is made. 

An equation was developed by the author from the pump efficiency curves in the eighth edition of The GPS A Engineering Data Book. provided by the M. W. Kellogg Co. The curves were found to check vendor data well. The equation admittedly appears bulky, but is easy to use. 

Step 5. Calculate the discharge temperature for the total pressure ratio to check against the stated temperature limit, using the assumed efficiency, rjp =. 75 and the polytropic exponent. Apply Equation 5.14. 

If data gathering is also computer-linked, then the problem is to check out the correctness of the program. Hand calculation of one rated point for How head, efficiency, and horsepower will serve as verification. 

Provision and use of appropriate health surveillance, e.g. for signs of dermatitis, asthma, effects of specific solvent exposures. Full use of any spray booth, enclosure, exhaust ventilation or dilution systems, and automatic handling equipment. (The efficiency of all local exhaust ventilation and other control systems should be maintained, and checked by testing.) Where appropriate, atmospheric monitoring of airborne pollution levels. 

This column requires you to indicate "Yes or "No" to whether the treatment efficiency estimate is based on actual operating data. For example, you would check Yes if the estimate is based on monitoring of influent and effluent wastes under typical operating conditions. For sequential treatment, do not indicate "Yes" or "No" in column F for a treatment step unless you have provided a treatment estimate in column E. 

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