Amazon Lookout for Equipment

Amazon Lookout for Equipment uses machine learning to analyze sensor data from your industrial equipment and detect abnormal patterns that signal potential failures. It helps you avoid unplanned equipment downtime by identifying potential equipment failures before they occur.

1 APIs 5 Features

Equipment MonitoringIndustrial IoTMachine LearningPredictive Maintenance

APIs

Amazon Lookout for Equipment API

The Amazon Lookout for Equipment API provides programmatic access to create and manage datasets, models, inference schedulers, and labels for predictive maintenance of industria...

Collections

Amazon Lookout for Equipment API

OPEN

Pricing Plans

Amazon Lookout For Equipment Plans Pricing

3 plans

PLANS

Rate Limits

Amazon Lookout For Equipment Rate Limits

5 limits

RATE LIMITS

FinOps

Amazon Lookout For Equipment Finops

FINOPS

Features

Anomaly Detection

Detect abnormal equipment behavior using ML models trained on equipment sensor data.

Predictive Maintenance

Predict equipment failures before they occur to reduce unplanned downtime.

No ML Expertise Required

Automatically build ML models from historical sensor data without data science expertise.

Multi-Sensor Support

Analyze data from hundreds of sensors simultaneously to detect complex failure patterns.

Real-Time Inference

Run continuous inference on streaming sensor data for real-time failure detection.

Use Cases

Manufacturing Predictive Maintenance

Detect early warning signs of equipment failures in manufacturing machinery.

Energy Sector Monitoring

Monitor industrial equipment in power plants, wind turbines, and oil refineries.

Mining Equipment Health

Track the health of heavy mining equipment to prevent costly breakdowns.

HVAC System Monitoring

Detect anomalies in HVAC systems to prevent equipment failures in buildings.

Semantic Vocabularies

Amazon Lookout For Equipment Context

2 classes · 7 properties

JSON-LD

API Governance Rules

Amazon Lookout for Equipment API Rules

16 rules · 9 errors 7 warnings

SPECTRAL

JSON Structure

Amazon Lookout For Equipment Dataset Structure

5 properties

JSON STRUCTURE

Amazon Lookout For Equipment Model Structure

7 properties

JSON STRUCTURE

Example Payloads

Amazon Lookout For Equipment Dataset Example

5 fields

EXAMPLE

Amazon Lookout For Equipment Model Example

7 fields

EXAMPLE

Resources

Documentation

TermsOfService

PrivacyPolicy

GitHubOrganization

GitHubOrganization

SpectralRules

Sources

opencollection: 1.0.0
info:
  name: Amazon Lookout for Equipment API
  version: '2024-01-01'
request:
  auth:
    type: apikey
    key: Authorization
    value: '{{Authorization}}'
    placement: header
items:
- info:
    name: Datasets
    type: folder
  items:
  - info:
      name: Amazon Lookout for Equipment List Datasets
      type: http
    http:
      method: GET
      url: https://lookoutequipment.us-east-1.amazonaws.com/datasets
    docs: Lists all datasets currently available in your account.
  - info:
      name: Amazon Lookout for Equipment Create Dataset
      type: http
    http:
      method: POST
      url: https://lookoutequipment.us-east-1.amazonaws.com/datasets
    docs: Creates a container (dataset) for a collection of data being ingested for analysis.
  - info:
      name: Amazon Lookout for Equipment Describe Dataset
      type: http
    http:
      method: GET
      url: https://lookoutequipment.us-east-1.amazonaws.com/datasets/:DatasetName
      params:
      - name: DatasetName
        value: ''
        type: path
        description: The name of the dataset.
    docs: Provides a JSON containing the overall information about a specific dataset.
  - info:
      name: Amazon Lookout for Equipment Delete Dataset
      type: http
    http:
      method: DELETE
      url: https://lookoutequipment.us-east-1.amazonaws.com/datasets/:DatasetName
      params:
      - name: DatasetName
        value: ''
        type: path
        description: The name of the dataset.
    docs: Deletes a dataset and its associated data.
  - info:
      name: Amazon Lookout for Equipment List Models
      type: http
    http:
      method: GET
      url: https://lookoutequipment.us-east-1.amazonaws.com/models
    docs: Generates a list of all models in the account, including model name and ARN.
  - info:
      name: Amazon Lookout for Equipment Create Model
      type: http
    http:
      method: POST
      url: https://lookoutequipment.us-east-1.amazonaws.com/models
    docs: Creates an ML model for data inference.
  - info:
      name: Amazon Lookout for Equipment Describe Model
      type: http
    http:
      method: GET
      url: https://lookoutequipment.us-east-1.amazonaws.com/models/:ModelName
      params:
      - name: ModelName
        value: ''
        type: path
        description: The name of the machine learning model.
    docs: Provides a JSON containing the overall information about a specific ML model.
  - info:
      name: Amazon Lookout for Equipment Start Inference Scheduler
      type: http
    http:
      method: POST
      url: https://lookoutequipment.us-east-1.amazonaws.com/inference-schedulers/:InferenceSchedulerName/start
      params:
      - name: InferenceSchedulerName
        value: ''
        type: path
        description: The name of the inference scheduler.
    docs: Starts an inference scheduler.
bundled: true