Applied Sciences > Industries > DG CY2020 8297

Research Title Non-Intrusive Sensor-based Prescriptive Maintenance Platform for Wire Manufacturing Factory (Year 1 of 1)
Research Personnel Leader:

Research Duration Start:
1 April 2019
31 March 2021
Research Location ADMU
Research Description In this R&D project, a networked system for implementing prescriptive maintenance using image processing, sensors, and machine learning shall be developed for a Wiring Manufacturing Factory.
Research Objectives The objectives of the project are to: (1) design, develop, implement and deploy at least three sensor-based or machinevision based solutions to monitor the identified root causes of machine defects, (2) deploy a network system and monitoring servers to manage all the data from the sensors, (3) design, develop, implement and deploy an artificial intelligence that will perform prescriptive maintenance and corrective action plan based on the sensor data, and (4) perform simulation on the systems to measure its reliability.
Research Beneficiary(ies) Associated Wire Corporation of the Philippines (AWCP)
Research Accoplishments [CY 2020] A) Publication - 1 IEEE TenCon publication on the field of Edge, Cloud and Fog Computing B) Products/Process - Measurement and Automation System, and Computing System for Prescriptive Maintenance C) People Services - 3 undergraduate students will perform research in the fields of Machine Learning, Automation, Data Science D) Places - A Wire Manufacturing Company, our industry partner, will have increased output using our solution E) Patents - Process and techniques on how to predict defects and how to perform prescriptive maintenance for a wire and cable manufacturing company F) Policies - to be explored during the project duration
Total Research Cost ₱4,999,996.80
Research Agencies Funding:


Research Budget Breakdown Year:
Year Funded:
Total Cost
Date Released
Amount Released

Code DG CY2020 8297
KRA Code
Priority Thrust DOST

Sector Applied Sciences
Actual Sector Manufacturing
Related sectors Technology
Entry revision: February 2021