2020 IEEE Midwest Industry Conference (MIC)最新文献

Remote Monitoring of Critical Systems in Overhead Cranes Using Wireless Data Telemetry 利用无线数据遥测技术对高架起重机关键系统进行远程监控

2020 IEEE Midwest Industry Conference (MIC) Pub Date : 2020-08-01 DOI: 10.1109/MIC50194.2020.9209592

K. Singh, K. Chatterjee, Vikas Khemani

{"title":"Remote Monitoring of Critical Systems in Overhead Cranes Using Wireless Data Telemetry","authors":"K. Singh, K. Chatterjee, Vikas Khemani","doi":"10.1109/MIC50194.2020.9209592","DOIUrl":"https://doi.org/10.1109/MIC50194.2020.9209592","url":null,"abstract":"In recent years, Industry 4.0 and Industrial Internet of Things have provided a strong enabling toolset to the reliability efforts of various industries. An important aspect in these efforts is the acquisition of relevant data from various parts of a plant facility, transmitting it to a remotely-located central server in real time, contextually analyzing this data, and making it ubiquitous and readily available to authorized users for decentralized and efficient decision making for corrective action. While there are numerous ways to achieve data transmission via wired sensors and devices, the implementation is challenging in mobile assets, such as overhead cranes. Measurement and transmission devices are often installed in locations difficult to approach, and the sensor wiring is susceptible to moving members and exposure to hot and corrosive environment. This makes it difficult to ensure overall Reliability. For the same reasons, transmission of acquired data to the remote server is also impractical using wired communication in mobile assets. In this paper, we present two wireless configurations for data telemetry in mobile assets, such as overhead cranes, for the purpose of Remote Monitoring and Intelligent Predictive Diagnostics of critical systems. In the presented implementations, we acquire data from wireless sensors, meant to be installed on such mobile assets, and transmit this data wirelessly to a remotely-located cloud server for analysis, and for making the analyzed data readily and universally available to authorized users. The first configuration uses an existing wireless internet network for data transmission to the server, and the second uses a 4G LTE cellular network. Using a workshop simulation and test setup, we demonstrate the successful implementation of these configurations.","PeriodicalId":351221,"journal":{"name":"2020 IEEE Midwest Industry Conference (MIC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117070273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Real-time Implementation of RMNv2 Classifier in NXP Bluebox 2.0 and NXP i.MX RT1060 RMNv2分类器在NXP Bluebox 2.0和NXP i.MX RT1060中的实时实现

2020 IEEE Midwest Industry Conference (MIC) Pub Date : 2020-08-01 DOI: 10.1109/MIC50194.2020.9209615

Maneesh Ayi, M. El-Sharkawy

引用次数: 4

A Novel Model-Free Actor-Critic Reinforcement Learning Approach for Dynamic Target Tracking 一种用于动态目标跟踪的无模型Actor-Critic强化学习方法

2020 IEEE Midwest Industry Conference (MIC) Pub Date : 2020-08-01 DOI: 10.1109/MIC50194.2020.9209618

Amr Elhussein, Md. Suruz Miah

{"title":"A Novel Model-Free Actor-Critic Reinforcement Learning Approach for Dynamic Target Tracking","authors":"Amr Elhussein, Md. Suruz Miah","doi":"10.1109/MIC50194.2020.9209618","DOIUrl":"https://doi.org/10.1109/MIC50194.2020.9209618","url":null,"abstract":"Addressing the trajectory tracking problem of a mobile robot in tracking a dynamic target is still one of the challenging problems in the field of robotics. In this paper, we address the position tracking problem of a mobile robot where it is supposed to track the position of a mobile target whose dynamics is unknown a priori. This problem is even more challenging when the dynamics of the mobile robot is also assumed to be unknown, which is indeed a realistic assumption. Most of the trajectory tracking solutions proposed in the literature in the field of mobile robotics are either focused on algorithms that rely on mathematical models of the robots or driven by a overwhelming degree of computational complexity. This paper proposes a model-free actor-critic reinforcement learning strategy to determine appropriate actuator commands for the robot to track the position of the target. We emphasize that mathematical models of both mobile robot and the target are not required in the current approach. Moreover, Bellman’s principle of optimality is utilized to minimize the energy required for the robot to track the target. The performance of the proposed actor-critic reinforcement learning approach is backed by a set of computer experiments with various complexities using a virtual circular-shaped mobile robot and a point target modeled by an integrator.","PeriodicalId":351221,"journal":{"name":"2020 IEEE Midwest Industry Conference (MIC)","volume":"300 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121265946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Deployment of SE-SqueezeNext on NXP BlueBox 2.0 and NXP i.MX RT1060 MCU SE-SqueezeNext在NXP BlueBox 2.0和NXP i.MX RT1060 MCU上的部署

2020 IEEE Midwest Industry Conference (MIC) Pub Date : 2020-08-01 DOI: 10.1109/MIC50194.2020.9209612

R. T. N. Chappa, M. El-Sharkawy

引用次数: 3

Pre-manufacturing Portfolio Management Decisions in the Defense Industry 国防工业中的制造前投资组合管理决策

2020 IEEE Midwest Industry Conference (MIC) Pub Date : 2020-08-01 DOI: 10.1109/MIC50194.2020.9209611

Rahul Dixit, R. Chinnam, Harpreet Singh

{"title":"Pre-manufacturing Portfolio Management Decisions in the Defense Industry","authors":"Rahul Dixit, R. Chinnam, Harpreet Singh","doi":"10.1109/MIC50194.2020.9209611","DOIUrl":"https://doi.org/10.1109/MIC50194.2020.9209611","url":null,"abstract":"Defense Industry production quantities and manufacturing timeline are different from commercial industry. Specifically, the platforms take years to develop, are in field-use for multiple-decades. The installed payload systems on these platforms must be backward compatible when upgraded. The production volumes are small, and many products are highly integrated to fit size, weight & power (SWaP) constraints. Cost, while important, is not the primary driving factor in design for manufacturability. Under these conditions, the Portfolio Managers in the industry make technology and material readiness decisions several years ahead of manufacture. Data needed for such decisions is often sparse, inaccurate, compartmentalized and deliberately obfuscated. Our modified Delphi method based qualitative research shows that under these constraints, middle managers in the defense industry, make tactical and strategic decisions based on best-consensus, using paired-comparison processes. And, when they choose to make ‘more unilateral’ decisions regarding portfolio management (PM) and new product development (NPD) investments, these are less robust.","PeriodicalId":351221,"journal":{"name":"2020 IEEE Midwest Industry Conference (MIC)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114415949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Pulse-Width Modulation Based Nonlinear Control for DC-DC Buck Converters with Perturbed Input Source and Load Current 基于脉宽调制的输入源和负载电流摄动的DC-DC降压变换器非线性控制

2020 IEEE Midwest Industry Conference (MIC) Pub Date : 2020-08-01 DOI: 10.1109/MIC50194.2020.9209616

Christopher Leonard, B. Howard, Jing Wang

引用次数: 0