About PHMForge A Scenario Driven Agentic Benchmark For Industrial Asset Lifecycle Maintenance
PHMForge A Scenario Driven Agentic Benchmark For Industrial Asset Lifecycle Maintenance is an MCP server in the Agents category: agentic approach to predicting RUL, cost while adhering to safety standards.
Install
git clone https://github.com/DeveloperMindset123/PHMForge-A-Scenario-Driven-Agentic-Benchmark-for-Industrial-Asset-Lifecycle-MaintenanceThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Tools (11)
analyze_engine_signalsMulti-sensor anomaly detection
Parameters not published.
assess_component_healthPer-component (Fan/LPC/HPC/HPT/LPT) health
Parameters not published.
classify_faultsPer-unit fault classification
Parameters not published.
detect_degradation_trendMulti-cycle trend extraction
Parameters not published.
diagnose_timing_issuesEfficiency vs flow-modifier fault dominance
Parameters not published.
load_datasetLoad PDMBench dataset (CMAPSS, CWRU, FEMTO, …)
Parameters not published.
load_ground_truthLoad RUL_FDxxx.txt or labeled fault taxonomies
Parameters not published.
predict_rulPer-unit RUL prediction (real heuristic predictor)
Parameters not published.
train_fault_classifierTrain classifier for fault taxonomies
Parameters not published.
train_rul_modelTrain MLP/LSTM/Transformer regressor for RUL
Parameters not published.
verify_ground_truthTolerance check vs RUL ground truth
Parameters not published.
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