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How to maintain the low temperature low speed centrifuge

Technical Knowledge 2019-02-24 21:15:20
The cryogenic centrifuge is a product with a series of centrifuges. In general, for the maintenance of cryogenic low-speed centrifuges, we tend to follow the five principles: one rule, two comparison rules, substitution rules, exchange rules and reference conditions rules, among which:

1. replace the rules

Replacing suspicious parts with good parts is a way to find faults. If you suspect that the detector is causing noise, switch to a good performance detector. If the fault is eliminated, there is a problem with the replaced detector. The scale of this rule application is large and small, from changing the entire part to replacing the integrated blocks on the printed circuit board.

2. in exchange for rules

The exchange-back rule can be used in conjunction with the replacement rule. The replacement of the suspicious component of the cryogenic centrifuge has not improved the condition and should be replaced with the original component. This has the least cost of repairs and prevents the backlog of used parts. This rule only applies to a single fault.

3. one rule

When the low temperature low speed centrifuge fails, you can tentatively change some states and change one parameter at a time. Do some simple changes and maybe solve the problem.

4. the second comparison rules

Before the hands-on maintenance, the fault has been identified, or the solution to the fault has been determined. In other words, the solution has been found before the hands-on. This rule can be used to examine the situation after the system is changed. This rule can avoid unnecessary Change and identify corrective actions as soon as possible.

5. reference conditions rules

There are two main types of reference conditions: standard reference conditions and test reference conditions. Standard reference conditions are also called standard test conditions. It is easy to go from one system to another, from one laboratory to another. The conditions for verification. The data measured with this condition helps to identify problems between actual tests and systems.

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