Identifying Vane Failure From Combustion Turbine Data
- 分析与建模 - 机器学习
- 分析与建模 - 预测分析
- 应用基础设施与中间件 - 数据可视化
2015 年末，一台已部署的燃气轮机出现两排叶片故障，这对压缩机造成了巨大的二次损坏，导致近两个月的停机时间和高达 3000 万美元的维修成本和机会损失。这种失败虽然很少见，但代表了很难捕捉到的典型灾难性事件。尽管现场工厂运营团队一直在监控资产，但这种特定的故障模式以前是未知的且非常细微，现有的警报没有足够的信息让中小企业及时正确诊断。
OEM 决定评估 SparkCognition 的预测分析解决方案 SparkPredict®，其目标如下：
3. 提供一个与资产中的实时流数据接口的 UI。
在一个季度的过程中，SparkCognition 使用来自相关燃气轮机的两年数据，为每种稳态和瞬态运行模式开发、训练和验证了高性能机器学习模型。 SparkPredict 的数据科学团队利用专有的内部工具和自动化模型构建功能构建了这些独特的模型，以快速有效地执行。
使用这些方法，团队首先清理数据以准备建模。他们将最初的 400 多个变量集减少到最能代表数据集的大约 250 个。然后，使用无监督聚类方法，他们确定了涡轮机的所有各种运行状态，并与客户 SME 一起标记每个已知的故障事件集群。最后，使用来自 OEM 的实际故障事件数据对该模型进行了验证。
Smart Water Filtration Systems
Before working with Ayla Networks, Ozner was already using cloud connectivity to identify and solve water-filtration system malfunctions as well as to monitor filter cartridges for replacements.But, in June 2015, Ozner executives talked with Ayla about how the company might further improve its water systems with IoT technology. They liked what they heard from Ayla, but the executives needed to be sure that Ayla’s Agile IoT Platform provided the security and reliability Ozner required.
IoT enabled Fleet Management with MindSphere
In view of growing competition, Gämmerler had a strong need to remain competitive via process optimization, reliability and gentle handling of printed products, even at highest press speeds. In addition, a digitalization initiative also included developing a key differentiation via data-driven services offers.
Premium Appliance Producer Innovates with Internet of Everything
Sub-Zero faced the largest product launch in the company’s history:It wanted to launch 60 new products as scheduled while simultaneously opening a new “greenfield” production facility, yet still adhering to stringent quality requirements and manage issues from new supply-chain partners. A the same time, it wanted to increase staff productivity time and collaboration while reducing travel and costs.
Predictive Maintenance for Industrial Chillers
For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase.
Integration of PLC with IoT for Bosch Rexroth
The application arises from the need to monitor and anticipate the problems of one or more machines managed by a PLC. These problems, often resulting from the accumulation over time of small discrepancies, require, when they occur, ex post technical operations maintenance.
Data Gathering Solution for Joy Global
Joy Global's existing business processes required customers to work through an unstable legacy system to collect mass volumes of data. With inadequate processes and tools, field level analytics were not sufficient to properly inform business decisions.