Reliability
Remaining useful life (RUL): report an interval, not one number
Learn how RUL is defined, what each of three common approaches needs as data, and how to report P10, P50 and P90 values with a worked trend calculation.
A one-page brief for an industrial AI pilot
Put the business decision, data owner, baseline and acceptance criteria in one place.
In short
- The project should start with a decision statement naming the user, the decision frequency and the current method.
- Every data source needs an owner, an access boundary and a refresh interval, along with coverage dates, units and missingness.
- Acceptance should compare the current rule, a simple statistical baseline and a candidate model on the same test, including false-alarm workload and latency.
Write a decision statement
Replace “apply AI to our data” with a decision such as prioritizing batches for tomorrow’s quality inspection. Identify the user, decision frequency and current method. A model metric cannot guide the project if no one knows which job should change.
Assign data ownership
Give every source an owner, access boundary and refresh interval. Record coverage dates, units, missingness and label-generation procedures. Data allowed outside the organization and data that must stay local require separate decisions. Clearly identify synthetic experiments performed before production data becomes available.
Define acceptance in advance
Compare the current rule, a simple statistical baseline and a candidate model on the same test. Discuss false-alarm workload, latency and ongoing maintenance as well as model metrics. Set numeric targets from site conditions and team capacity rather than copying universal targets from a guide.
Connect delivery to operations
Deliver a data dictionary, test report, version record, operating instructions and recovery procedure alongside the model. Assign responsibility for model changes. Bring this brief, a sample schema and a current system diagram to an ASP technical discussion to make discovery concrete.
Frequently asked
What belongs in a one-page industrial AI project brief?
State the business decision, the user, the decision frequency and the current method. Name an owner, access boundary and refresh interval for every data source. Define acceptance in advance against the current rule and a simple statistical baseline, and set numeric targets from site conditions and team capacity.
What should an AI pilot hand over to operations?
Deliver a data dictionary, test report, version record, operating instructions and recovery procedure alongside the model, not the model file alone. Assign responsibility for model changes. Clearly identify synthetic experiments that were run before production data became available.
Sources and further reading
Pilot steps in this guide are proposed engineering workflows. Examples do not constitute measured field performance.
Questions on this topic
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