Condition-Based Monitoring and Anomaly Detection of Industrial Equipment using Autoencoder

Real-time Condition-based Monitoring (CbM) of wire manufacturing equipment of a partner facility involves the manual process of listening to the sound pressure of the equipment by the personnel assigned to it. This is to prevent further damage and to mitigate costs by monitoring the earliest signs of defects in the form of anomalous sound. We augmented the facility\u27s CbM system by deploying an acoustic recorder and by building an autoencoder that is trained using the normal sound pressure of the wire extruding machine. This paper discusses a process for sound pressure acquisition, data pre-processing and preparation, feature extraction, anomaly detection, model evaluation, and case studies of downtime incidents. The objective of this paper is to automate the monitoring of the condition of the equipment and to find possible symptoms of unhealthy sound pressure prior to the reported downtimes. A comparative analysis of density score and reconstruction error, our chosen anomaly detection techniques, is presented in this paper

Resilient Communications and Information Systems for Disaster-Preparedness using UAVs, Beacons and Data aggregators, via Delay-Tolerant Networks on Sub-GHz Frequencies

We identified use cases where resilient communications systems may help in disaster-preparedness in the Philippines. The use cases involve critical information and communications. When networks are down due to typhoons, earthquakes and other disasters, information becomes critical. By introducing low cost and easy-to-deploy communications systems, we were able to demonstrate improved information flow in post-disaster operations. We were able to gather data seamlessly and test the range of transmission in different terrains. Using multiple UAVs, we were able to demonstrate cooperative missions between ground teams and rescue teams. The systems deployed by the team improved the flow of information without the use of legacy communications networks

Application of the V-HUB Standard using LoRa Beacons, Mobile Cloud, UAVs, and DTN for Disaster-Resilient Communications

The Philippines is a country constantly visited by natural disasters. In post-disaster situations, conventional communication systems and infrastructures are likely to be disrupted, complicating rescue and relief efforts. During disaster-response scenarios, situational awareness becomes crucial for all parties involved, hence the need for disaster-resilient communication and decision-support systems. In this study, the research group developed a communication system to help in providing contextual situational awareness of survivors and a delay-tolerant network for opportunistic communication. This system employs unmanned aerial vehicles to boost the coverage of transmission and reception of this system. Development of this system used LoRa (Long Range) technology, a new communication protocol for low-powered, long range data transmission, and medium agnostic delay tolerant network (DTN) software stack. Integrated with the DTN is a decentralized near-cloud infrastructure that allow pre-positioning and in-situ allocation of digital assets and services. Outside a disaster scenario, the locals, especially those in remote areas, can use the capabilities of this system for their everyday information and communication purposes. Demonstrations were conducted both inside and outside campus to properly evaluate the performance of the system. Indoor and outdoor use-cases were simulated for various operational scenarios such as long-range detection and messaging, and detection under rubble

Demonstrations of Post-disaster Resilient Communications and Decision-Support Platform With UAVs, Ground Teams and Vehicles Using Delay-Tolerant Information Networks on Sub-GHz Frequencies

We developed an approach to a resilient communications system for post-disaster situations that make use of cooperative missions involving multiple unmanned aerial vehicles (UAV), ground teams, and vehicle communication hubs (VHUB). In this paper, we will discuss how the communication system can operate even without relying on conventional communication networks such as the cellular network and Internet, which we assume may not be available in a post-disaster scenario, by using the concept of delay-tolerant networks (DTN). By using sub-GHz radio frequencies, we can also extend the range of transmission of responder nodes from several hundred meters to a few kilometers, allowing for the ground-to-ground and ground-to-sky communications. We will also discuss and demonstrate the components of the system and several applications on victim finding, rescue, and identification. Other key capabilities of the decision support node include mapping and visualization of disaster area and victim locations, information dissemination through ad-hoc broadcast messaging, and other disaster mobile kiosk applications. We envision the technical approach discussed in this paper to eventually be deployed in future post-disaster decision-support systems based on accurate situational awareness data. Maps, videos, and other post-disaster operational information will eventually be provided to partner organizations in an effective and timely manner