Explanations


Explanations

Oil Change Metric

For most operators when to change oil in a wind turbine gearbox is harder than reading tea leaves. Oil analysis results suffer from manual sampling, testing, and inherent noise. This leaves most operators without a true condition based approach to lube system maintenance. Our advanced analytics delivers an oil health metric based on 30,000 years of gearbox oil history. We clearly recommend where oil change, flush, filter change, and similar…

Business Model

How Humans Digest Millions of Data Points a Minute

A problem that us humans have with using “big data” is how to digest all the interesting information. On wind turbines, there are hundreds of data points being produced a second. A single person may be tasked with monitoring and managing thousands of such machines. Digestion of this data is an important problem to solve if we want to use big data to make better decisions. Fortunately, this problem has…

Explanations

Case Study: Setting Multi-Attribute Alarms

A significant challenge in operating a wind turbine is to know when there is trouble on the horizon. A primary method is to take measurements of various parameters. Turbines are constantly logging attributes such as wind speed and temperatures. Alongside, there are periodic measurements taken, such as gearbox oil samples. These attributes as a whole can effectively define the operational performance, health, and likelihood of issues. In the following we…

Explanations

What are We Selling?

Fluitec Wind is a condition monitoring service that uses existing data. Rather than require novel expensive data streams, as other condition monitoring services, we gather turbine level data since commission and use this to profile the risk to the components. This is extremely low cost and small footprint with unparalleled predictive accuracy. Our one service, is decoupled (ETL, Analytics, Visualization) and has two distinct roles (Predictive Work Order Generation and…

Explanations

Big Data solves Signal to Noise

We get a lot of questions from potential customers. The one question that tells us that we have not explained properly is: “our data is too dirty; the consistency in sampling oil was not great at one of our sites until a new best practice was established.  I suspect you cannot do much if “garbage” info is inputted.” This is like telling a home cleaning company: “sorry, we don’t need…

Explanations

Analytics: Is Weibull Bull?

Weibull analysis is a common methodology to forecast machine health and reliability. A Weibull distribution is similar to a Normal/Gaussian or Poisson distribution: it is a probability distribution curve to describe the likelihood of an event. “Grading on a curve” falls into this category. Many wind turbine operators assume that to understand health, a best practice method is to slap on a Weibull distribution. By doing so, they believe, they…

Explanations

Data Science Ain’t Easy, but Someones Gotta do It

If you are reading this blog, you are in agreement that data has a lot of value if used correctly. And you probably agree that wind turbines produce a lot of valuable data. For many wind turbine operators the immediate next thought is, “great, we can do this ourselves!”. This somewhat boggles our mind. Independently conducting data analytics is akin to a doctor on an isolated Pacific island with <800…

Explanations

What Data is Important and Why?: Making Your Data Our Problem

So, you are sold on Fluitec Wind, data mining, and can’t wait to get started! Now what? It’s time to gather your raw data, and dump it on us. We want to make this process as easy for you as possible: we don’t want you to do anything but pull raw data, and send it our way. We break down the data types into 3 buckets: Genetic Operational Diagnostic Every…