By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData Collective
  • Analytics
    AnalyticsShow More
    data-driven image seo
    Data Analytics Helps Marketers Substantially Boost Image SEO
    8 Min Read
    construction analytics
    5 Benefits of Analytics to Manage Commercial Construction
    5 Min Read
    benefits of data analytics for financial industry
    Fascinating Changes Data Analytics Brings to Finance
    7 Min Read
    analyzing big data for its quality and value
    Use this Strategic Approach to Maximize Your Data’s Value
    6 Min Read
    data-driven seo for product pages
    6 Tips for Using Data Analytics for Product Page SEO
    11 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: How to Set up a Predictive Maintenance Project that is Set for Success
Share
Notification Show More
Latest News
anti-spoofing tips
Anti-Spoofing is Crucial for Data-Driven Businesses
Security
ai in software development
3 AI-Based Strategies to Develop Software in Uncertain Times
Software
ai in ppc advertising
5 Proven Tips for Utilizing AI with PPC Advertising in 2023
Artificial Intelligence
data-driven image seo
Data Analytics Helps Marketers Substantially Boost Image SEO
Analytics
ai in web design
5 Ways AI Technology Has Disrupted Website Development
Artificial Intelligence
Aa
SmartData Collective
Aa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Analytics > Predictive Analytics > How to Set up a Predictive Maintenance Project that is Set for Success
Analytics

How to Set up a Predictive Maintenance Project that is Set for Success

Predictive maintenance technology is proving to be a remarkable development for companies in countless sectors.

Sean Parker
Last updated: 2021/04/20 at 5:34 PM
Sean Parker
4 Min Read
predictive maintenance project
Shutterstock Photo License - By Zapp2Photo
SHARE
- Advertisement -

The predictive maintenance industry has a great impact on the life of equipment. The process aims to reduce machine downtime, enabling, for example, better maintenance planning. However, the project needs to be well developed for a good monitoring of production.

Contents
Essential elements for predictive maintenance in the industryUnderstand what should be monitoredSelect the data

According to data from the US Department of Energy, the savings generated by the application of this model reach up to 30% in maintenance costs, with a reduction of approximately 75% in downtime and up to 45% in downtime. Thus, the return on investment (ROI) can be up to 10 times the amount applied.

- Advertisement -

These numbers show some of the many benefits that predictive maintenance in the industry can bring to a business. But do you know what the steps are to implement it? Here’s how to set up your project!

Essential elements for predictive maintenance in the industry

A predictive maintenance project cannot be carried out without three essential elements for its implementation. It relies on the right predictive analytics tools that can prove to be very useful. Are they:

More Read

predictive analytics helps Albanian bitcoin investors

Albanian Bitcoin Investors Tap the Power of Predictive Analytics

Predictive Analytics Improves Trading Decisions as Euro Rebounds
Perks of Predictive Analytics for Businesses Big and Small
How can CIOs Build Business Value with Business Analytics?
Can Predictive Analytics Identify Future Crypto Profitability?

Data – Information sources are essential for training the algorithms. In an ideal case, the machinery has sensors that send data in real time. In addition, maintenance and fault information is digitized. This is usually not the scenario found – it is normal for maintenance information to be made available on paper. However, it does not preclude the execution of the project: the only difference will be the inclusion of additional time for structuring the data

Machine Learning Algorithms – Each case will have an ideal algorithm. It is rare that the same algorithm is the most suitable for different cases. Thus, the customization of Machine Learning algorithms is at the heart of the implementation of a predictive maintenance system that is effective.

Industry Expertise – The structuring of data and selection of algorithms must have a strong component of expertise in the day-to-day operation. Here, the contribution of those responsible for predictive maintenance is essential. This experience must be incorporated into the system for it to be effective.

- Advertisement -

Understand what should be monitored

From machine learning, algorithms can learn new information over time, but a starting point is needed. Therefore, understanding the equipment the problem should be the beginning for predictive maintenance in the industry.

An unnecessary machine shutdown can happen for several reasons. Some are very common, while others can be more specific. A good diagnosis should allow intelligent algorithms to have access to fluids, component wear, vibration and temperature of the machines.

The last item is one of the main ones, as it acts directly on the quality of the equipment. Therefore, intelligent algorithms must accompany cold chambers, greenhouses and / or maturation chambers, according to the type of industry.

Select the data

For a proper functioning of artificial intelligence in predictive maintenance, it is necessary to have the data that will guide the algorithms. The applied technology is able to extract them from the systems, as long as the information is properly imputed.

It is necessary to have available a series of materials that enable the action of machine learning on the machines. Consider productivity graphs, history of the collection of variables, management software, communication gadgets, among other tools favorable to obtaining data.

- Advertisement -
TAGGED: machine learning applications, predictive analytics, predictive maintenance
Sean Parker March 25, 2021
Share this Article
Facebook Twitter Pinterest LinkedIn
Share
By Sean Parker
Sean Parker is an entrepreneur and content marketer with over 5 years of experience in SEO, Creative Writing and Digital Marketing with Rank Media. He has worked with several clients from all over the globe to offer his services in various domains with a proven track record of success.
- Advertisement -

Follow us on Facebook

Latest News

anti-spoofing tips
Anti-Spoofing is Crucial for Data-Driven Businesses
Security
ai in software development
3 AI-Based Strategies to Develop Software in Uncertain Times
Software
ai in ppc advertising
5 Proven Tips for Utilizing AI with PPC Advertising in 2023
Artificial Intelligence
data-driven image seo
Data Analytics Helps Marketers Substantially Boost Image SEO
Analytics

Stay Connected

1.2k Followers Like
33.7k Followers Follow
222 Followers Pin

You Might also Like

predictive analytics helps Albanian bitcoin investors
Blockchain

Albanian Bitcoin Investors Tap the Power of Predictive Analytics

9 Min Read
benefits of data analytics for financial management
Predictive Analytics

Predictive Analytics Improves Trading Decisions as Euro Rebounds

10 Min Read
predictive analytics
Predictive Analytics

Perks of Predictive Analytics for Businesses Big and Small

6 Min Read
Analytics

How can CIOs Build Business Value with Business Analytics?

8 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US

© 2008-23 SmartData Collective. All Rights Reserved.

Removed from reading list

Undo
Go to mobile version
Welcome Back!

Sign in to your account

Lost your password?