A free, structured audit that evaluates sensor coverage, data quality, maintenance processes, and organizational readiness for practical predictive maintenance pilots.
A checklist to evaluate which assets and signals are good candidates for predictive maintenance pilots and which engineering actions are needed first.
An interactive, saveable audit that walks maintenance and reliability teams through sensor coverage, signal quality, data pipelines, labeling, and integration readiness for a practical predictive maintenance pilot.
An interactive, structured readiness audit that evaluates sensor coverage, data quality, tagging and failure history, CMMS/workorder integration, spare parts and SLA readiness, team capability, and governance for practical predictive maintenance pilots. The form captures scores, evidence, notes, and candidate assets to prioritize pilots and avoid wasted effort on immature use cases.
A short interactive audit to validate whether signals, sensor placement, sampling, tagging, and data access are sufficient for a successful predictive maintenance pilot. Produces a readiness rating, candidate-asset flag, and recommended quick mitigations.
A practical, step-by-step checklist to verify sensors, signals, sampling, labels, sync, data quality, ownership, acceptance criteria, and fallback processes before running a sensor-driven predictive maintenance pilot.
An interactive, evidence-oriented checklist to verify sensor placement, sampling, timestamps, data completeness, labeling, access, and a quick data-acceptance test before launching predictive maintenance pilots.
Practical, field-ready guidance for picking sensor types, mounting approaches, sample rates, and capture practices that actually reveal failure precursors — plus a technician checklist and example failure-mode → signal mappings for realistic predictive-maintenance pilots.
A practical, saveable worksheet to map assets, failure modes, candidate signals, expected lead time, pilot readiness, and a simple priority score. Use single-row structured entries (good for stepwise pilot planning) or paste a bulk CSV (good for scanning many assets). Stores submissions for later review and dashboards.
Structured, interactive audit that scores sensor coverage, data quality, CMMS integration, maintenance processes, and skills/change management to assess readiness for a practical PdM pilot and produce clear next steps based on a banded readiness score.
A practical, step-by-step pilot plan to scope, run, evaluate, and scale short, measurable sensor-driven predictive maintenance pilots. Includes hypothesis templates, asset selection checklist, sensor and sampling guidance, labeling and baseline strategy, data-quality acceptance criteria, model evaluation metrics tied to business outcomes, safety and rollback measures, scaling checklist, timeline, roles, and a stakeholder communications template.