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在线课程
在线课程
15小时/5周
日期： 询问 WhatsApp
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预测性维护课程概述
本预测性维护 (PdM) 课程旨在帮助学员深入了解各种维护策略及其在各行业的应用。课程融合了理论概念与实践操作，运用数据科学和现代传感器技术，讲解诊断、预测和决策优化等内容。学员将深入学习 PdM 的关键组成部分，从根本原因分析到振动分析、热成像和摩擦学等诊断工具的使用。本课程旨在帮助学员做出明智的设备维护决策，预防故障，确保设备平稳运行并减少停机时间。以下是预测性维护课程的目标。.
预测性维护课程目标
本课程的目标是：
- 使参与者清楚地了解各种维护策略，包括基于时间的维护、基于状态的维护和预测性维护。.
- 介绍与预测性维护相关的数据科学技术，例如传感器数据分析、机器学习模型和诊断工具。.
- 提供使用现代预测性维护工具和技术的实践经验。.
- 培养参与者预测故障、优化维护决策以及在各个行业实施 PdM 策略的能力。.
学习成果
完成预测性维护课程后，学员将能够：
- 了解并实施各种维护策略（例如，基于状态的维护、预测性维护）。.
- 应用振动分析、热成像和摩擦学等诊断工具来监测设备。.
- 利用数据科学和机器学习技术进行状态监测和故障预测。.
- 利用成本效益分析和风险评估优化维护决策。.
- 为任何行业或系统制定并实施预测性维护策略。.
预测性维护结论
本预测性维护课程深入讲解设备维护中从被动维护转向预测性维护所需的理论、工具和技术。课程结合实践操作经验和机器学习、高级诊断等前沿技术，旨在帮助专业人员领导预测性维护项目，最大限度地延长设备正常运行时间，并提高运营效率。.
您可以通过此链接找到更多信息和参考资料： https://www.sciencedirect.com/search?qs=predictive%20maintenance%20
[woodmart_accordion][woodmart_accordion_item title=”Module 1: Introduction to Maintenance Strategies”]
- 时间型、状态型和预测型维护策略概述。.
- 了解维护在不同行业和设备中的作用。.
- 为各种设备和系统选择合适的维护策略的标准。.
[/woodmart_accordion_item][woodmart_accordion_item title=”Module 2: Fundamentals of Predictive Maintenance”]
- 预测性维护概念及优势简介。.
- 推动预测性维护的关键技术包括传感器、机器学习和物联网 (IoT)。.
- PdM中使用的状态监测和诊断工具概述。.
[/woodmart_accordion_item][woodmart_accordion_item title=”Module 3: Data Science in Predictive Maintenance”]
- 传感器数据的采集、处理和分析。.
- 介绍用于预测性维护的机器学习技术，例如高斯过程回归（GPR）。.
- 剩余使用寿命 (RUL) 估算和退化监测的预测模型。.
[/woodmart_accordion_item][woodmart_accordion_item title=”Module 4: Diagnostic Techniques for Condition Monitoring”]
- 振动分析：检测不平衡、不对中和磨损的工具和方法。.
- 超声波监测用于检测泄漏、裂缝和摩擦问题。.
- 热成像技术用于温度监测和识别机械中的热点。.
- 摩擦学和油液分析，用于监测润滑和磨损。.
[/woodmart_accordion_item][woodmart_accordion_item title=”Module 5: Prognostics and Failure Prediction”]
- 用于故障预测和维护计划的先进技术。.
- 利用数据驱动模型、时间序列分析和趋势分析来预测故障。.
- 预测技术在不同行业（包括制造业和能源业）的实际应用。.
[/woodmart_accordion_item][woodmart_accordion_item title=”Module 6: Maintenance Decision Optimization”]
- 维护运营优化决策框架简介。.
- 维护计划的成本效益分析和风险评估。.
- 多目标优化：在维护决策中平衡成本、停机时间和安全性。.
- 有效维护优化策略案例研究。.
[/woodmart_accordion_item][woodmart_accordion_item title=”Module 7: Key Performance Indicators (KPIs) and Maintenance Implementation”]
- 定义和监控关键绩效指标，以衡量预测性维护策略的有效性。.
- 将预测性维护融入现有维护计划的策略。.
- 最终项目：为选定的行业或系统设计全面的预测性维护 (PdM) 策略。.
[/woodmart_accordion_item][woodmart_accordion_item title=”Module 8: Advanced PdM Applications”]
- 电机分析：检测电机故障和效率低下问题。.
- 用于实时状态监测和预测分析的过程参数监测。.
- 视觉检测方法及其与基于传感器的技术的结合。.
- 将预测性维护 (PdM) 系统与工业物联网 (IIoT) 集成。.
[/woodmart_accordion_item][/woodmart_accordion]
我们的团队 CAE 助手 课程的每个部分都将由各自领域内著名的专家授课，为您提供无与伦比的知识和见解。.
目前课程讲师人选仍在最终确定中，但我们承诺将邀请该领域顶尖专家之一为您授课。我们正在积极努力，确保尽快遴选出一位优秀的科研人员来开发和讲授这门课程。.
我们的课程面向多元化的受众群体，包括研究生和博士生、企业研发人员以及大学教师。每门课程都根据最新的ISI论文和前沿研究精心打造，确保学员能够获得新兴技术领域最新、最相关的知识。.
研究生和博士生： 这些课程提供对最新研究的深入见解和实际应用，使学生掌握最新的知识和方法，从而提高他们的学术工作和研究能力。.
研发人员： 对于从事工业研发的专业人士而言，我们的课程提供了有关新趋势和新技术的宝贵更新，促进了创新，并提高了他们应对项目中复杂挑战的能力。.
大学教职人员： 希望了解最新发展的学者将从我们的课程中受益，获得前沿研究和新兴技术，并将其融入到他们的教学和研究活动中。.
通过参加我们的课程，所有这些群体都将获得最新的知识、实用的技能以及直接来源于科学技术进步前沿的见解，从而获得竞争优势。.
有限元分析课程证书
成功完成本课程后，您将获得课程结业证书。该证书证明您已掌握所投入的时间和所学习的技能，并且可以在线验证。.
预测性维护课程非常适合：
- 希望提升预测性维护知识的维护和可靠性工程师。.
- 希望将自身技能应用于工业领域的数据科学家。.
- 运营经理负责维护关键设备并减少停机时间。.
- 负责维护流程的技术人员和主管，希望了解最新的 PDM 技术。.
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[woodmart_info_box rounding_size=”” title_tag=”span” title_style=”underlined” woodmart_css_id=”66cc3b8ed68dc” title=”AWARDS” title_font_size=”eyJwYXJhbV90eXBlIjoid29vZG1hcnRfcmVzcG9uc2l2ZV9zaXplIiwiY3NzX2FyZ3MiOnsiZm9udC1zaXplIjpbIiAuaW5mby1ib3gtdGl0bGUiXX0sInNlbGVjdG9yX2lkIjoiNjZjYzNiOGVkNjhkYyIsImRhdGEiOnsiZGVza3RvcCI6IjEycHgifX0=” custom_text_size=”eyJwYXJhbV90eXBlIjoid29vZG1hcnRfcmVzcG9uc2l2ZV9zaXplIiwiY3NzX2FyZ3MiOnsiZm9udC1zaXplIjpbIiAuaW5mby1ib3gtaW5uZXIiXX0sInNlbGVjdG9yX2lkIjoiNjZjYzNiOGVkNjhkYyIsImRhdGEiOnsiZGVza3RvcCI6IjEycHgifX0=” svg_animation=”no” info_box_inline=”no” wd_hide_on_desktop=”no” wd_hide_on_tablet_landscape=”no” wd_hide_on_tablet=”no” wd_hide_on_mobile=”no” css=”.vc_custom_1724660562036{margin-bottom: 20px !important;}” responsive_spacing=”eyJwYXJhbV90eXBlIjoid29vZG1hcnRfcmVzcG9uc2l2ZV9zcGFjaW5nIiwic2VsZWN0b3JfaWQiOiI2NmNjM2I4ZWQ2OGRjIiwic2hvcnRjb2RlIjoid29vZG1hcnRfaW5mb19ib3giLCJkYXRhIjp7InRhYmxldCI6e30sIm1vYmlsZSI6e319fQ==” wd_z_index=”no”]Certificate[/woodmart_info_box][woodmart_info_box rounding_size=”” title_tag=”span” title_style=”underlined” woodmart_css_id=”66cc3ba41cc2f” title_font_size=”eyJwYXJhbV90eXBlIjoid29vZG1hcnRfcmVzcG9uc2l2ZV9zaXplIiwiY3NzX2FyZ3MiOnsiZm9udC1zaXplIjpbIiAuaW5mby1ib3gtdGl0bGUiXX0sInNlbGVjdG9yX2lkIjoiNjZjYzNiYTQxY2MyZiIsImRhdGEiOnsiZGVza3RvcCI6IjEycHgifX0=” custom_text_size=”eyJwYXJhbV90eXBlIjoid29vZG1hcnRfcmVzcG9uc2l2ZV9zaXplIiwiY3NzX2FyZ3MiOnsiZm9udC1zaXplIjpbIiAuaW5mby1ib3gtaW5uZXIiXX0sInNlbGVjdG9yX2lkIjoiNjZjYzNiYTQxY2MyZiIsImRhdGEiOnsiZGVza3RvcCI6IjEycHgifX0=” svg_animation=”no” info_box_inline=”no” wd_hide_on_desktop=”no” wd_hide_on_tablet_landscape=”no” wd_hide_on_tablet=”no” wd_hide_on_mobile=”no” css=”.vc_custom_1724660582228{margin-bottom: 20px !important;}” responsive_spacing=”eyJwYXJhbV90eXBlIjoid29vZG1hcnRfcmVzcG9uc2l2ZV9zcGFjaW5nIiwic2VsZWN0b3JfaWQiOiI2NmNjM2JhNDFjYzJmIiwic2hvcnRjb2RlIjoid29vZG1hcnRfaW5mb19ib3giLCJkYXRhIjp7InRhYmxldCI6e30sIm1vYmlsZSI6e319fQ==” wd_z_index=”no” title=”COURSE LEVEL”]Step by Step from Basics to Advanced[/woodmart_info_box][woodmart_info_box rounding_size=”” title_tag=”span” title_style=”underlined” woodmart_css_id=”66cc3bb6d0673″ title=”RESOURCES” title_font_size=”eyJwYXJhbV90eXBlIjoid29vZG1hcnRfcmVzcG9uc2l2ZV9zaXplIiwiY3NzX2FyZ3MiOnsiZm9udC1zaXplIjpbIiAuaW5mby1ib3gtdGl0bGUiXX0sInNlbGVjdG9yX2lkIjoiNjZjYzNiYjZkMDY3MyIsImRhdGEiOnsiZGVza3RvcCI6IjEycHgifX0=” custom_text_size=”eyJwYXJhbV90eXBlIjoid29vZG1hcnRfcmVzcG9uc2l2ZV9zaXplIiwiY3NzX2FyZ3MiOnsiZm9udC1zaXplIjpbIiAuaW5mby1ib3gtaW5uZXIiXX0sInNlbGVjdG9yX2lkIjoiNjZjYzNiYjZkMDY3MyIsImRhdGEiOnsiZGVza3RvcCI6IjEycHgifX0=” svg_animation=”no” info_box_inline=”no” wd_hide_on_desktop=”no” wd_hide_on_tablet_landscape=”no” wd_hide_on_tablet=”no” wd_hide_on_mobile=”no” css=”.vc_custom_1724660600456{margin-bottom: 20px !important;}” responsive_spacing=”eyJwYXJhbV90eXBlIjoid29vZG1hcnRfcmVzcG9uc2l2ZV9zcGFjaW5nIiwic2VsZWN0b3JfaWQiOiI2NmNjM2JiNmQwNjczIiwic2hvcnRjb2RlIjoid29vZG1hcnRfaW5mb19ib3giLCJkYXRhIjp7InRhYmxldCI6e30sIm1vYmlsZSI6e319fQ==” wd_z_index=”no”]Pdf, Code, Video File[/woodmart_info_box]
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