System-Wide Work Process Overview

本文介绍如何使用SAP系统全局工作进程概览(Transaction SM66)来监控拥有多个实例的SAP系统。文章详细解释了如何通过查看对话工作进程及后台工作进程的相关字段来了解系统的运行状态,并提供了如何调整设置以获取更详尽信息的方法。

To monitor a system with multiple SAP instances, use the system-wide work process overview (Transaction SM66).

By navigating with the 口-〉 button, you'll see the following fields in the system-wide work process overview:

->Dialog work processes
    ~ Tcod: Code for the transaction that is currently running
    ~ CUA REP.: Name of the program from which the user started the
    currently running transaction (also known as the main program)
    ~ OYNP: Name of the dynpro last processed
    ~ Fcod: Code for the last function called in the current program
->For a background work process:
    ~ Jos: Name of the executed background job
->For both cases:
    ~ ExT. MEM: Current extended memory utilization
    ~ PRIV. MEM: Current heap memory utilization


Making changes

In the system-wide work process overview, you can change the following options:

Using the SETTINGS button:

->Display connections and status in status line

Selecting this option displays in the status line the server to which a connection is currently being established. This is helpful if, for example, the connection is problematic or takes a long time. By default, this option is not selected.

->Display only abbreviated information and avoid RFC
If you select this option, the system-wide work process overview gets its information from the message server rather than from each application server (through RFC). Because application servers report the status of their work processes to the message server only after a delay, the message server is not always up to date. If you deselect this option, an RFC connection to each application server is established for a check on the current status of the work processes. The information is therefore up to date; however, this takes more time. By default, this option is selected; that is, only abbreviated information is displayed. If you require a complete overview of work processes for a performance analysis, deselect this option and refresh the display frequently.


Using the SELECT PROCESS button:

A specific group of work processes can be found and displayed. This is especially necessary for large installations with hundreds of work processes. By default, waiting work processes are not shown.

内容概要:本文提出了一种基于融合鱼鹰算法和柯西变异的改进麻雀优化算法(OCSSA),用于优化变分模态分解(VMD)的参数,进而结合卷积神经网络(CNN)与双向长短期记忆网络(BiLSTM)构建OCSSA-VMD-CNN-BILSTM模型,实现对轴承故障的高【轴承故障诊断】基于融合鱼鹰和柯西变异的麻雀优化算法OCSSA-VMD-CNN-BILSTM轴承诊断研究【西储大学数据】(Matlab代码实现)精度诊断。研究采用西储大学公开的轴承故障数据集进行实验验证,通过优化VMD的模态数和惩罚因子,有效提升了信号分解的准确性与稳定性,随后利用CNN提取故障特征,BiLSTM捕捉时间序列的深层依赖关系,最终实现故障类型的智能识别。该方法在提升故障诊断精度与鲁棒性方面表现出优越性能。; 适合人群:具备一定信号处理、机器学习基础,从事机械故障诊断、智能运维、工业大数据分析等相关领域的研究生、科研人员及工程技术人员。; 使用场景及目标:①解决传统VMD参数依赖人工经验选取的问题,实现参数自适应优化;②提升复杂工况下滚动轴承早期故障的识别准确率;③为智能制造与预测性维护提供可靠的技术支持。; 阅读建议:建议读者结合Matlab代码实现过程,深入理解OCSSA优化机制、VMD信号分解流程以及CNN-BiLSTM网络架构的设计逻辑,重点关注参数优化与故障分类的联动关系,并可通过更换数据集进一步验证模型泛化能力。
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