Industrial Machine Health Analytics Creation
Budget: $3,000 – $5,000 USD
We are building a generic industrial machine health analytics platform.
The system ingests time-series operational data (e.g. pressure, temperature, vibration, speed, load) and produces health indicators, efficiency metrics, and fault flags using deterministic logic first, with provision for AI/ML later.
This project is focused on core architecture and engineering logic, not UI or dashboards.
⸻
Responsibilities
• Design a modular data ingestion layer (CSV initially)
• Build a machine-agnostic metrics and feature layer
• Implement a configurable rule-based health engine
• Structure the system to allow future ML / AI augmentation
• Generate clear machine health summaries and trend outputs
⸻
Required Skills
• Python (NumPy, Pandas)
• Time-series data processing
• Data modeling & feature engineering
• Clean, modular software design
• Ability to implement logic from written specifications
⸻
Preferred (Not Required)
• Industrial, mechanical, or physics-based background
• Experience with condition monitoring or asset health
• JSON / schema-driven systems
• ML experience (used appropriately)
⸻
Deliverables
• Working prototype (offline acceptable)
• Modular, documented codebase
• Configurable rule engine
• Example outputs using sample datasets
The system ingests time-series operational data (e.g. pressure, temperature, vibration, speed, load) and produces health indicators, efficiency metrics, and fault flags using deterministic logic first, with provision for AI/ML later.
This project is focused on core architecture and engineering logic, not UI or dashboards.
⸻
Responsibilities
• Design a modular data ingestion layer (CSV initially)
• Build a machine-agnostic metrics and feature layer
• Implement a configurable rule-based health engine
• Structure the system to allow future ML / AI augmentation
• Generate clear machine health summaries and trend outputs
⸻
Required Skills
• Python (NumPy, Pandas)
• Time-series data processing
• Data modeling & feature engineering
• Clean, modular software design
• Ability to implement logic from written specifications
⸻
Preferred (Not Required)
• Industrial, mechanical, or physics-based background
• Experience with condition monitoring or asset health
• JSON / schema-driven systems
• ML experience (used appropriately)
⸻
Deliverables
• Working prototype (offline acceptable)
• Modular, documented codebase
• Configurable rule engine
• Example outputs using sample datasets