Mitsubishi Power (UK) - Solving Crack Formation
Inbound Marketing Strategy
Introduction
Mitsubishi Power (UK), a core subsidiary of MHI Group, provides cutting-edge technology and energy solutions that scale development in the power industry. Not to mention, the support of cost-effective and reliable power supply worldwide that this global brand brings.
The Challenge
When Mitsubishi Power got in touch with our company, they didn’t seem very pleased with the fact that they had been incurring tremendous losses due to machinery malfunction. This resulted in penalties and repair, further coming in the way of business progress. The company sounded keen on meeting its goals, one of which included overshadowing its competition.
Goals
- Reduce shortcomings Mitsubishi Power intended to develop a real-time scalable solution in diagnosing possible cracks in a gas turbine
- Develop a meticulous and reliable solution that anticipates cracks well in advance using AI/ML, to decrease the inactivity
The Strategy
- Come up with a solution with the use of data-driven methods, using AI/ML
- Perform a Feature Engineering exercise which is vital to gauge the connection between the data attributes
- Create a program to extract the identified features from the data automatically
- Fine-tuning the programme to estimate the possibility of a crack in the blade
Result
- An improved program that uses the extracted features and estimates the profitability of crack formation and growth for as long as one year
