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Tools, checklists & numbers you can actually use

Practical resources for maintenance and operations leaders: grade your alarm load and bearing risk, calculate downtime exposure, and turn industrial standards into plant decisions.

Downtime cost calculator

Planning estimate: use it for early value conversations. It does not claim customer savings and should be replaced with site-specific numbers during discovery.
// Downtime cost calculator
₹2.5 L
24 hrs
32%

Scenarios reflect commonly reported predictive-maintenance outcomes (≈30-50% unplanned-downtime reduction). Adjust to your own pilot evidence.

Your unplanned downtime costs approximately
₹7.20 Cr / year
Based on 24 hrs/month at ₹2.5 L/hr across a 12-month period.
₹2.30 Cr
Potential annual saving at a 32% reduction
Turn this into a plan

Field notes from the literature

All briefs
ISO 13373-3

Bearing Defect Frequencies: A Field Reference With One Worked Example

BPFO, BPFI, BSF, and FTF without the mystique — the formulas, one fully worked 6205 example, what each tone implies for inspection, and where envelope analysis misleads.

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ISA-95 / IEC 62264

Edge Vs Cloud For IIoT In Heavy Industry: A Decision Matrix, Not A Religion

Where machine data should live — framed by ISA-95 levels, IEC 62443 zones, and NIST OT guidance — with the three boundary decisions every plant has to make explicitly.

Read the brief
ISA-95 / IEC 62264

ISA-95 Context Models In The Unified Namespace Debate: Levels, Or A Flat Broker?

What ISA-95's level model actually gives you, how it relates to the unified-namespace idea, and the three decisions that settle the argument for a real plant — without picking a tribe.

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ISO 20816-3

ISO Vibration Severity In Plain English: Zones, Groups, And The Decisions They Should Change

What ISO 10816-3 / 20816-3 severity zones actually mean on a plant floor, the alarm-band decisions they should drive, and where the zone tables stop being useful.

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NIST AI RMF 1.0

NIST AI RMF For Plant AI Pilots: Govern, Map, Measure, Manage Without The Theatre

What the NIST AI Risk Management Framework actually asks of an industrial AI pilot, the three decisions it should change before you deploy a model on the plant floor, and where it stops being useful.

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