Here’s the truth: not all AI maintenance solutions are created equal. 

We know that 97% of manufacturers will leverage AI to fight back against the high-skilled labor shortage. And we know that AI-powered maintenance with Azima unlocks powerful downtime and cost savings: one manufacturer saved $8.1 million in just 6 months. 

But how do you build and scale a sustainable process – getting AI-powered maintenance recommendations into your team’s hands? 

That’s where eMaint comes in.  

Your AI maintenance recommendations – based on real-time vibration monitoring data, and the Azima data lake – become eMaint work orders. You can act quickly to save production lines, plan ahead to reduce costs, and get an eagle-eye view of asset health for planning. 

How does eMaint integrate with Azima DLI? Let’s take a look. 

Before We Start: A Quick Refresher on Azima DLI and eMaint… 

eMaint 

  • What it is: eMaint is EAM, CMMS, and IIoT software for maintenance management from Fluke Reliability that serves 150,000+ users. 
  • Why it’s different: eMaint is the trusted expert in global, mobile maintenance standardization. Simplifying work orders, asset management, and inventory, eMaint is also part of a connected reliability ecosystem that includes Fluke tools, condition monitoring, and your key systems like SCADA or ERP. 

Azima DLI 

  • What it is: Azima DLI gives you maintenance recommendations from AI-powered vibration analysis and human experts. 
  • Why it’s different: Azima AI has been trained on 30 years of data and 100 trillion data points. Human review is the secret ingredient: certified vibration analysts review results and help build predictive maintenance programs that deliver prescriptive results at an enterprise scale. With Azima, you can predict failures months in advance.

Step 1: Gathering Vibration Data 

We start at the source: your critical assets. The Azima team’s deep level of machinery knowledge is used to select the optimal data acquisition strategy for each machine in your plant. Their arsenal of hardware includes  triaxial vibration sensors, handheld analyzers, and online condition monitoring systems designed from the ground up with AI powered vibration analytics in mind.  

Step 2: AI and Human Analysis 

Now it’s time for AI to do its magic. How Azima works is remarkable: AI trained on 100 trillion data points across 30 years. The Azima AI algorithm has deep expertise of trained fault pattern recognition, including 6000+ rules, 1200+ fault conditions, and 50+ component types.  

Your data will reveal which assets have vibration signatures that mean failures are coming – and Azima will generate recommendations on what to fix, and how to fix it. 

Every predictive maintenance program is unique, but in most cases, a human certified vibration analyst from Azima (ISO trained Level II-IV) will review major recommendations and provide guidance. 

Step 3: Turning Data Into Action 

Lastly, your AI recommendations become eMaint work orders, complete with data about the fault detected, repair recommendations, and priority. You can then set up eMaint workflows to prioritize urgent repairs: your machines fail, AI alerts you and recommends action, and then a work order launches, all within minutes depending on your setup. 

Azima in Action: Building Parts Manufacturer Case Study 

A building parts manufacturer was under threat from downtime disasters: an hour can cause them as much as $12,500. And because failures reduced asset lifespan, new equipment acquisition became a source of overspending. 

The manufacturer went in search of a predictive maintenance program – and found one in Azima. 

Results 

  • Saved more than $8.1 million in downtime costs in just 6 months 
  • Implemented predictive maintenance across 13 facilities 
  • “Azima provides very accurate and precise repair recommendations… with some of the other companies, you seem to get generalities.” – Division Reliability Engineer 

Azima in Action: Standard Steel Case Study 

Standard Steel is an eMaint user and leading manufacturer of forged steel wheels and axles for locomotives. They rely on 300 critical assets; minimal downtime, uninterrupted production, and high-quality output is key. 

Standard Steel faced two main issues with a previous vibration analysis vendor: high costs and the need for better value. 

And then they found Azima. 

Results 

  • Quick ROI prevented failures for three critical assets within a month 
  • Example: crisis averted on critical wheel metal production line 
  • “If it had failed, we would have lost our entire wheel mill production line. But the sensors identified that a bearing was locking.” – Maintenance and Reliability Engineer 

Getting Started with eMaint and Azima Integration to Deliver Impact for Your Business 

We have the data to back it up: Azima delivers a powerful ROI. And when Azima AI recommendations show up in your eMaint, your team gains the power to react lightning-fast to failures, and plan far ahead when it comes to labor, inventory, and costs. 

Get in touch with the Azima team or the eMaint team today to learn more about harnessing the power of their connected workflows.