Predictive Maintenance Data Acquisition Engineer
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#Program
About Program
NOS Name: Predictive Maintenance Data Acquisition Engineer
NOS Code: CSC/Q
NOS Version: 1.0
NSQF Level: 6
Model Curriculum Version: 1.0
A Predictive Maintenance Data Acquisition Engineer is responsible for designing, implementing, and managing data collection systems that enable predictive maintenance in industrial environments. This role involves integrating sensors, data acquisition hardware, and analytical software to monitor equipment health, detect anomalies, and prevent unexpected failures. Predictive maintenance plays a crucial role in modern industries by minimizing downtime, reducing maintenance costs, and optimizing asset performance.
#Bookdetails
Module
Module 1
Introduction to Predictive Maintenance Data Acquisition
Module 2
Designing Data Acquisition Systems
Module 3
Implementing Data Acquisition Systems
Module 4
Analyze the Data Acquisition Systems
Module 5
System Maintenance Using Data Acquisition Techniques
#Overview
Program Overview
Training Outcomes
At the end of the program, the learner should have acquired the listed knowledge and skills.
–Â Understanding Predictive Maintenance Concepts: Grasp fundamental concepts and
methodologies of predictive maintenance and its role in asset management.
–Â Data Acquisition Techniques: Master techniques for collecting data from various
sources, including sensors, IoT devices, and equipment interfaces.
–Â Signal Processing Skills: Develop skills in signal processing methods to analyze and
filter data for meaningful insights.
– Data Analysis Proficiency: Gain proficiency in data analysis tools and software (e.g.,
Python, R, MATLAB) to extract relevant patterns and trends.
–Â Familiarity with industrial automation and control systems, including PLCs, SCADA
systems, LIMS, Machinery Monitoring and Protection Systems, Data Historians and
DCSs.
–Â Understanding of cybersecurity principles and best practices to ensure data privacy
and security.
–Â Ability to work collaboratively with cross-functional teams, including engineers,
maintenance technicians, functional/domain experts and data scientists.
–Â Familiarity with industry standards and regulatory requirements related to predictive
maintenance, such as ISO 20816, ISO 18436, ISO 13379, ISO 15531, ISO 13381.
–Â Knowledge of project management principles and practices, including project
planning, scheduling, and budgeting.
–Â Sources of various data, methods of integration of various systems and collection of various data.
| NOS and Module Details | Theory Duration | Practical Duration | On-the-Job Training Duration (Mandatory) | On-the-Job Training Duration (Recommended) | Total Duration |
|---|---|---|---|---|---|
| Bridge Module | 05:00 | 00:00 | 00:00 | 00:00 | 05:00 |
| Module: 1 Introduction to Predictive Maintenance Data Acquisition | 05:00 | 00:00 | 00:00 | 00:00 | 05:00 |
| CSC/N: Design & Implement the Data Acquisition Systems in the Equipment used in the Production of equipment, machinery, and other industrial goods. | 25:00 | 65:00 | 00:00 | 00:00 | 85:00 |
| Module:2 Designing Data Acquisition Systems | 10:00 | 30:00 | 00:00 | 00:00 | 45:00 |
| Module:3 Implementing Data Acquisition Systems | 15:00 | 30:00 | 00:00 | 00:00 | 45:00 |
| CSC/N: Analyze & Maintaining the Data Acquisition Systems using Data Acquisition Techniques. | 34:00 | 56:00 | 60:00 | 00:00 | 150:00 |
| Module:4 Analyze the Data Acquisition Systems | 12:00 | 36:00 | 30:00 | 00:00 | 78:00 |
| Module:5 System Maintenance Using Data Acquisition Techniques | 22:00 | 20:00 | 30:00 | 00:00 | 72:00 |
| CSC/N: Interpret the Data Acquisition Systems & Integrate Predictive Maintenance Strategies. | 36:00 | 84:00 | 90:00 | 00:00 | 210:00 |
| Module:6 Interpretation of Data Acquisition System | 16:00 | 24:00 | 00:00 | 00:00 | 40:00 |
| Module:7 Development of Predictive Maintenance Strategies. | 10:00 | 20:00 | 30:00 | 00:00 | 60:00 |
| Module:8 Integration of Various Data Sources with Data Acquisition Systems. | 05:00 | 20:00 | 30:00 | 00:00 | 55:00 |
| Module:9 Data Validation & Preparation for Predictive Maintenance. | 05:00 | 20:00 | 30:00 | 00:00 | 55:00 |
| DGT/VSQ/N0103-Employability Skills (90 hours) NOS Version No. – 1.0 NSQF Level – 5.5 | 36:00 | 54:00 | 00:00 | 00:00 | 90:00 |
| Module 10: Introduction to Employability Skills | 1:00 | 2:00 | 3:00 | ||
| Module 11: Constitutional values - Citizenship | 0.5:00 | 1:00 | 1.5:00 | ||
| Module 12: Becoming a Professional in the 21st Century | 2:00 | 3:00 | 5:00 | ||
| Module 13: Basic English Skills | 4:00 | 6:00 | 10:00 | ||
| Module 14: Career Development & Goal Setting | 1.5:00 | 2.5:00 | 4:00 | ||
| Module 15: Communication Skills | 4:00 | 6:00 | 10:00 | ||
| Module 16: Diversity & Inclusion | 1:00 | 1.5:00 | 2.5:00 | ||
| Module 17: Financial and Legal Literacy | 4:00 | 6:00 | 10:00 | ||
| Module 18: Essential Digital Skills | 8:00 | 12:00 | 20:00 | ||
| Module 19: Entrepreneurship | 3:00 | 4:00 | 7:00 | ||
| Module 20: Customer Service | 4:00 | 5:00 | 9:00 | ||
| Module 21: Getting ready for apprenticeship & Jobs | 3:00 | 5:00 | 8:00 | ||
| Module 22: Collaboratively coordinate with the team. Bridge module ,Mapped to CSC/N1339, v1.0 | 30:00 | 60:00 | 90:00 | ||
| Module 23: Maintain Health, Safety and Environment at workplace. Bridge module, Mapped to CSC/N0505, v1.0 | 10:00 | 20:00 | 30:00 | ||
| Total Duration | 176:00 | 334:00 | 150:00 | 660:00 |
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