帮忙翻译一段论文（拒绝翻译软件）6.2. Diagnostics and prognostics capabilitiesIn assessing the diagnostics and prognostics capabilities of the AE, SOA and vibration monitoringtechniques for gear teeth surface pitting wear, the followin

帮忙翻译一段论文（拒绝翻译软件）6.2. Diagnostics and prognostics capabilitiesIn assessing the diagnostics and prognostics capabilities of the AE, SOA and vibration monitoringtechniques for gear teeth surface pitting wear, the followin
帮忙翻译一段论文（拒绝翻译软件）
6.2. Diagnostics and prognostics capabilities
In assessing the diagnostics and prognostics capabilities of the AE, SOA and vibration monitoring
techniques for gear teeth surface pitting wear, the following questions arise:
(1) Which is the best indicator for monitoring pit growth?
(2) How does load affect the various indicators?
(3) What is the prognostic potential of these technique?
6.2.1. Which is the best indicator for monitoring pit growth?
Clearly, there existed an initial period during which the gear teeth surface smoothened out, oil sump
temperatures increased and dynamic stabilisation of the rotating systems (such as bearing, alignments, etc.)
took place. Because of the complexity involved during this process, it was deemed inappropriate to relate any
of the monitoring indicators to this period; 0–15 h. However, after this initial period defined as wear-in, the
monitoring indicators behaved differently with pit progressions. As discussed earlier, AE rms levels exhibited a
linear relationship with running time (as observed from AE measurements taken from the gear after the run-in
period), which was not necessarily the case for vibration, SOA and AE (bearing casing) observations.

帮忙翻译一段论文（拒绝翻译软件）6.2. Diagnostics and prognostics capabilitiesIn assessing the diagnostics and prognostics capabilities of the AE, SOA and vibration monitoringtechniques for gear teeth surface pitting wear, the followin
6.2.诊断和预后的能力
在评估诊断和自动曝光,SOA和振动监测预后的能力
技术的齿轮齿面点蚀磨损,出现下列问题：
（1）这是用于监测坑增长最好的指标呢?
（2）如何影响负载的各种指标?
（3）什么是这些技术预后的潜力?
6.2.1.这是对经济增长的最佳指标监测坑?
显然,存在一个初始时期,齿轮齿面理顺了,油底壳
气温升高和旋转系统,如轴承（动态稳定,线路走向等）
发生.由于在此过程中所涉及的复杂性,它被认为是不恰当的任何有关
监测指标,这一时期; 0-15小时但是,在实施初期定义为耐磨的,在
监测指标有不同的表现与坑级数.如前所述,声发射均方根水平呈现
线性关系与运行时间（如观察到从齿轮采取声发射测量后的磨合
期）,这是不一定的振动情况下,SOA和自动曝光（含外壳）的意见.