6 Wires Stabilizer Generator Parts Rectangular Voltage Regulator

Features: brand new high quality Made of high quality material, For replacing rectangular AVR regulators and carbon brushes Suitable for many products including rectangular voltage regulators and carbon brushes. In most cases, if you have output problems with your alternator, it's best to replace the carbon brushes. The brushes could be a problem or part of the voltage regulator. The two parts are joined together to make replacement simple and efficient This voltage regulator is used in many different makes, models and styles of generators from 1Kw to 4Kw. This AVR is a rectangular AVR, also known as a square AVR. The AVR has a 4 blade quick connect and 2 single wires that go to the carbon brush assembly and are marked + and - Some models can use this square regulator or the very half-moon circular regulator. This only applies square styles. You have to make sure your unit requires a circular style. In many cases, you can choose either style and they will connect the same way. Carbon brushes are general purpose carbon brushes that can be used on almost any generator that uses the same looking carbon brushes.

Product parameters: Regulator Specifications Rating: 1kw to 4kw Shape: square/rectangular Electrical Connections: 6 wires (4 blade quick connects and 2 single wires) Bolting: 2 Bolts - 3-7/8" Center to Center Capacitor Rating: 250v | 220uF Dimensions: Length - 4-1/4" | Height - 1-5/8" | Depth: 7/8" (case only) Adjustable: yes

Carbon brush specifications Style: Mounting bolt holes: 1/4" Mounting Bolt Spacing: 1" on centers Carbon Rods: 2 @ 1/4" x 3/16" Distance from edge to first brush: 3/4" Distance Between Brushes: 7/16" Center Electrical Connections: 2 Single Blade Connectors

Package Included: 1 * Regulator 1 * carbon brush holder

Note： 1.The real color of the item may be slightly different from the pictures shown on website caused by many factors such as brightness of your monitor and light brightness. 2.Please allow slight manual measurement deviation for the data.