4 Best Ways to Detect a Defect in Production Line

In the global manufacturing market, success means delivering a near-perfect product to customers. Machinery is the life of a manufacturing unit. Moreover, operators play a vital role in the production process by assuring the maintenance of the machine. However, burdening an operator for assuring the quality of every piece of machinery can be a call for disaster. To overcome this problem, manufacturing leaders are betting on the new age technology. Like any other industry, manufacturing leaders are keen to use an intelligent system that can scan the surface of machinery, list and analyze the problems without human intervention. Let’s take a look at how different types of predictive maintenance technologies are transforming the production process in manufacturing industries.

Predictive maintenance technology helps manufacturers predict a potential failure of critical machinery with high accuracy. But how does the system work? It works with the Internet of things (IoT) sensors. It can record heat, pressure, and triaxial vibrations. Moreover, the operators set up the sensors on the machinery. Eventually, the system transfers the data to the public cloud. In the data lakes within the public cloud, the algorithm compares the present data with the past data. The data signals failures of the equipment in terms of their correlation with numerous other factors. We have listed 4 types of technologies used in predictive maintenance:

Also, read “How eLearning Uses Data Analytics To Personalize Content

  1. Infrared Thermography

    Infrared inspections can spot defects and help dodge costly repair and maintenance. The analysis of thermal data over the equipment can chart a pattern for future machine maintenance and handling strategies.  

  2. Vibration Analysis


    This technique is especially used for rotating equipment. Generally, when the equipment is in a stable condition, it exhibits a standard vibration. However, the analysis of vibrations can only help the operator to examine the degree of misalignment.

  3. Acoustic Monitoring

    A worn and unlubricated bearing generates a type of frequency that can be captured by the system. As a result, it can predict the gas, liquid, or vacuum leak in equipment.

  4. Oil Analysis

    Oil data analysis can reveal a myriad of results such as the viscosity of oil, presence of contaminants, particle counts, and the acid number or base number.

Lastly, no industry is immune to machine disasters. Drug companies, technology titans, electronics manufacturers. They’ve all faced disorganization due to defective equipment from supply chain productions to big manufacturing factories. The aftermath can be adverse: millions of dollars in lost revenue, government sanctions, lawsuits, and consumer mistrust.

Most Popular

Let's Connect

Please enable JavaScript in your browser to complete this form.

Join Factspan Community

Subscribe to our newsletter

Related Articles

Add Your Heading Text Here

Blogs

Modernizing Medication Management: Data-driven Approach to Pyxis MedStation

Delve into the significance of Pyxis MedStation in healthcare, highlighting its challenges and the data-driven solutions offered by Factspan. Discover how analytics improves medication management, saving costs and enhancing patient care in the process

Read More ...
Blogs

Meta’s LLAMA 2 Vs Open AI’s ChatGPT

Explore the world of cutting-edge AI with a detailed analysis of Meta’s LLaMA and OpenAI’s ChatGPT. Uncover their workings, advantages, and considerations to help you make the right choice for your specific needs. Dive into the future of AI and its profound impact on content creation and data analysis.

Read More ...
Blogs

Data Contract Implementation in a Kafka Project: Ensuring Data Consistency and Adaptability

Data contracts are essential for ensuring data consistency and adaptability in data engineering projects. This blog explains how to implement data contract in a Kafka project and how it can be utilized to solve data quality and inconsistency issues.

Read More ...
Blogs

CDP: A band-aid solution?

Step into the world of Customer Data Platforms (CDPs) with our captivating blog, designed to guide you through every angle. Discover the origin story of CDPs – why they stepped into the spotlight. Uncover their true essence and explore the four common categories they belong to. Delve into real-life scenarios with eight compelling use cases that are revolutionizing businesses today. Tackle the question: are CDPs a quick fix or a sustainable solution? And don’t shy away from addressing the challenges that come with CDP territory. Wrapping it all up, you’ll find key takeaways that provide fresh insights into this dynamic technology.

Read More ...
Blogs

The Magical Transformation: How Nike Used Marketing Intelligence to Win the Game

Discover how Marketing Intelligence and Generative AI shape effective strategies. Learn from Nike’s success against Adidas in 2018. Dive into personalized content, automation, and insights.

Read More ...
Blogs

Web 3.0: Transforming the Future of E-commerce

With Web 3.0, users will experience heightened control over their data, leading to faster and safer transactions. For businesses, this paradigm shift will necessitate embracing AI, blockchain, and machine learning technologies to better connect with customers and thrive in this new era of digital commerce.

Read More ...