Intelligent condition monitoring for small induction motors

Addos Technologies是埃德蒙顿地区工业自动化和系统集成服务的提供商。他们目前正在开发工业设施中小型电动机状态监测的业务线。只有低成本的传感器在经济上是可行的; Addos认为，基于机器学习的推理传感将提供有竞争力的灵敏度和特异性使用这些传感器，但他们缺乏内部的专业知识进行必要的研究和开发。拟议的研究将评估Addos的计划方法，以状态监测。Addos从实验室实验（其中故障是故意引起的）和工业现场的现场观察中收集了机器状态数据。我们将使用这些数据集来训练和评估基于各种传统和深度学习算法的推理传感器。一旦确定了性能最佳的算法，University和Addos的人员将共同努力将其产品化。我们将与Addos和University的人员举行为期三天的研讨会，在此期间，Addos的人员将首先接受智能系统设计的指导，然后整个团队将致力于产品化，作为其扩展示例。在研讨会的结论，阿多应该能够设计和实施智能状态监测解决方案，为其他客户，给他们一个新的业务线。假设这个项目是成功的，Addos预计在未来五年内雇用20-30名额外的人员，以满足他们的服务的额外需求。

Addos Technologies is an Edmonton-area provider of Industrial Automation and System Integration services.They are currently developing a line of business in condition monitoring of small electric motors in industrialfacilities. Only low-cost sensors are economically viable for this problem; Addos believes that inferentialsensing based on machine learning will provide competitive sensitivity and specificity using these sensors, butthey lack the in-house expertise to conduct the necessary research and development.The proposed research will evaluate Addos' planned approach to condition monitoring. Addos has collectedmachine condition data from both laboratory experiments (in which faults are deliberately induced), and fieldobservations at an industrial site. We will use these datasets to train and evaluate inferential sensors based on avariety of traditional and deep learning algorithms. Once the best-performing algorithm is identified, Universityand Addos personnel will work together to productize it. We will hold a three-day workshop with the Addosand University personnel, during which the Addos personnel will first be instructed in intelligent systemsdesign, and then the entire team will work on the productization as an extended example thereof. At theconclusion of the workshop, Addos should be able to design and implement intelligent condition monitoringsolutions for other clients, giving them a new line of business. Assuming this project is successful, Addosexpects to hire 20-30 additional personnel over the next five years to meet the additional demand for theirservices.