| Name: | Tarun Bangia |
| Affiliation: | Aryabhatta Research Institute of Observational Sciences (ARIES), Nainital |
| Conference ID: | ASI2025_257 |
| Title: | Development and Prototype Testing of a Monitoring System for 3.6m DOT Equipment |
| Authors: | Tarun Bangia |
| Authors Affiliation: | Aryabhatta Research Institute of Observational Sciences (ARIES), Nainital-263001, India |
| Mode of Presentation: | Oral |
| Abstract Category: | Facilities, Technologies and Data science |
| Abstract: | The development of an effective monitoring system for equipment supporting telescope operations is crucial for ensuring reliable operation and preventing equipment malfunctions. The present work presents the development and prototype testing of a monitoring system designed for equipment of 3.6m Devasthal Optical Telescope (DOT). The system is tailored to track two key performance indicators viz. thermal stability and vibration levels of mechanical equipment supporting telescope operations. The system incorporates sensors, data acquisition and diagnostics to monitor equipment health, enabling early fault detection and predictive maintenance. The system can be monitored in real-time remotely to streamline operations. Prototype testing of a part of the system was conducted for a few equipment to assess the system’s performance under operational and environmental conditions. Raspberry Pi, DS18B20 temperature sensors and wireless vibration sensors, etc. were employed for taking sample data. Key testing objectives included the collection of data and data processing to track the abnormal conditions. Temperature metrics and vibration spectrums were obtained for equipment. A shock pulse signal was also used to determine the bearing condition and faults within the rotating machinery. The analysis will be useful in the detection of early signs of mechanical issues involving misalignment and bearing faults etc. The prototype tests demonstrate the system’s capacity to detect and diagnose potential issues in components of equipment before they lead to failures, enhancing equipment longevity and supporting optimal functionality. Early warning signals will be useful in initiating proactive maintenance activities. The findings contribute valuable insights into the development of monitoring solutions for equipment supporting telescope operations. |
